Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review.

Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves into the latest advancements and ongoing challenges in the field, with a focus on deep learning, machine learning, and image processing techniques applied to X-rays, CT scans, and histopathological images. Significant progress has been made in imaging technologies like computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), which, when combined with machine learning and artificial intelligence (AI) methodologies, have greatly enhanced the accuracy of cancer detection and characterization.

Water quality assessment of Upper Ganga and Yamuna river systems during COVID-19 pandemic-induced lockdown: imprints of river rejuvenation.

Clean river water is an essential and life-sustaining asset for all living organisms. The upper Ganga and Yamuna river system has shown signs of rejuvenation and tremendous improvement in the water quality following the nationwide lockdown due to the coronavirus pandemic. All the industrial and commercial activity was shut down, and there was negligible wastewater discharge from the industries.

Deep fine-KNN classification of ovarian cancer subtypes using efficientNet-B0 extracted features: a comprehensive analysis.

This study presents a robust approach for the classification of ovarian cancer subtypes through the integration of deep learning and k-nearest neighbor (KNN) methods. The proposed model leverages the powerful feature extraction capabilities of EfficientNet-B0, utilizing its deep features for subsequent fine-grained classification using the fine-KNN approach. The UBC-OCEAN dataset, encompassing histopathological images of five distinct ovarian cancer subtypes, namely, high-grade serous carcinoma (HGSC), clear-cell ovarian carcinoma (CC), endometrioid carcinoma (EC), low-grade serous carcinoma (LGSC), and mucinous carcinoma (MC), served as the foundation for our investigation.

Deep feature extraction and fine κ-nearest neighbour for enhanced human papillomavirus detection in cervical cancer - a comprehensive analysis of colposcopy images.

Introduction: This study introduces a novel methodology for classifying human papillomavirus (HPV) using colposcopy images, focusing on its potential in diagnosing cervical cancer, the second most prevalent malignancy among women globally. Addressing a crucial gap in the literature, this study highlights the unexplored territory of HPV-based colposcopy image diagnosis for cervical cancer. Emphasising the suitability of colposcopy screening in underdeveloped and low-income regions owing to its small, cost-effective setup that eliminates the need for biopsy specimens, the methodological framework includes robust dataset augmentation and feature extraction using EfficientNetB0 architecture.

Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture.

Problem: Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes. Despite its high prevalence, early diagnosis is crucial for effective treatment.

Aim: This study aimed to utilize recent advancements in deep learning for medical image classification to automate the early diagnosis of oral histopathology images, thereby facilitating prompt and accurate detection of oral cancer.

Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital.

Purpose: This study aims to address the challenge of identifying retinal damage in medical applications through a computer-aided diagnosis (CAD) approach. Data was collected from four prominent eye hospitals in India for analysis and model development.

Methods: Data was collected from Silchar Medical College and Hospital (SMCH), Aravind Eye Hospital (Tamil Nadu), LV Prasad Eye Hospital (Hyderabad), and Medanta (Gurugram).

A tertiary care study to assess the effectiveness of 'Supplement adherence kit' on intake of nutritional supplements among pregnant women.

Background: An antenatal mother undergoes significant changes throughout pregnancy and most of which occur during the second trimester. Supplements are important for normal growth and development of fetus, Deficiency of supplements during pregnancy leads to anemia and can have a negative impact on perinatal and maternal outcomes. These complications can be prevented by supplementing needed vitamins and minerals.

Magnetic behavior of FeO@C nanofibers by a facile co-axial electrospinning method.

Co-axially electrospun, magnetic FeO@carbon (FeO@C) nanofibers comprising FeOparticles in the core and carbon in the shell have been fabricated and their performances as magnetic material have been studied. The electrospun FeO@C nanofibers have been characterized with x-ray diffraction, field emission scanning electron microscopy, high-resolution transmission electron microscope, x-ray photoelectron spectroscope (XPS), and superconducting quantum interference device magnetometer. The structural and microstructural analysis has given a brief idea about the pure FeOand C phase formation and also the existence of smooth and continuous morphology of FeO@C nanofibers.

Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images.

The second most frequent malignancy in women worldwide is cervical cancer. In the transformation(transitional) zone, which is a region of the cervix, columnar cells are continuously converting into squamous cells. The most typical location on the cervix for the development of aberrant cells is the transformation zone, a region of transforming cells.

Brain tumor magnetic resonance images classification based machine learning paradigms.

Introduction: Cancer of the nervous system is one of the most common types of cancer in the world and mostly due to presence of a tumour in the brain. The symptoms and severity of the brain tumour depend on its location. The tumour within the brain may develop from nerves, dura (meningioma), pituitary gland (pituitary adenoma), or from the brain tissue itself (glioma).

Translational regulation of δ-tubulin through its 5'-untranslated region.

Background: δ-tubulin - a member of tubulin superfamily, is found in a subset of eukaryotes including human where it has a role in centriole maturation. The mutation in the gene results in a disorganized microtubule triplet arrangement leading to formation of defective centriole. Since centriole maturation is a periodic event, it will be interesting to see if δ-tubulin is also regulated in a cell cycle dependent manner.

Lung cancer histopathological image classification using wavelets and AlexNet.

Among malignant tumors, lung cancer has the highest morbidity and fatality rates worldwide. Screening for lung cancer has been investigated for decades in order to reduce mortality rates of lung cancer patients, and treatment options have improved dramatically in recent years. Pathologists utilize various techniques to determine the stage, type, and subtype of lung cancers, but one of the most common is a visual assessment of histopathology slides.

Hypertriglyceridemia induced acute pancreatitis: 4 years' experience from a tertiary care institute and quick literature review.

Hypertriglyceridemia (HTG) is infrequent but an established etiology that can trigger recurrent episodes of acute pancreatitis. The risk of acute pancreatitis is significant when serum triglycerides levels surpass >1000 mg/dL. Although the severity of HTG-induced acute pancreatitis (HTG-AP) may be correlated to higher HTG levels in the early stages, the overall clinical outcomes are similar to other aetiologies.

Redescriptions of the type specimens of synonymous nominal taxa of sea snakes (Serpentes: Elapidae: Hydrophis, Laticauda) at the Zoological Survey of India.

We redescribe and illustrate the type specimens of ten taxa of sea snakes of the genera Hydrophis Latreille in Sonnini Latreille, 1801 and Laticauda Laurenti, 1768 in the collections of the Zoological Survey of India. The specimens comprise holotypes and syntypes of ten synonymous nominal taxa that represent seven valid nominal taxa. We here clarify that one specimen ZSI 8278 is a syntype of Hydrophis dayanus Stoliczka, 1872, not holotype as previously stated.

On the distribution of Gonyosoma prasinum (Blyth, 1854) and Gonyosoma coeruleum Liu, Hou, Ye Htet Lwin, Wang amp; Rao, 2021, with a note on the status of Gonyosoma gramineum Gnther, 1864 (Squamata: Serpentes: Colubridae).

Based on 85 examined specimens, photographs of living specimens and illustrations published in the literature, we refine the distribution ranges of both Gonyosoma prasinum (Blyth, 1854) and of the recently described species Gonyosoma coeruleum Liu, Hou, Ye Htet Lwin, Wang Rao, 2021, which was not clearly addressed in its original description. We also redescribe the syntypes of Coluber prasinus Blyth, 1854 and the holotype of Gonyosoma gramineum Gnther, 1864, we discuss the status of this latter taxon, and we describe the hemipenial morphology of G. coeruleum.

Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.

The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly wonderful organ.

A rare etiology of persistent jaundice in type 1 autoimmune hepatitis.

A 24-year-old male without previously known comorbidities presented with progressive jaundice and hepatomegaly. Autoimmune serology and liver biopsy revealed features of autoimmune hepatitis. A treatment by oral prednisolone and azathioprine was initiated, after which he achieved remission.

Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.

The objective of this study is to conduct a critical analysis to investigate and compare a group of computer aid screening methods of COVID-19 using chest X-ray images and computed tomography (CT) images. The computer aid screening method includes deep feature extraction, transfer learning, and machine learning image classification approach. The deep feature extraction and transfer learning method considered 13 pre-trained CNN models.

A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors.

This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identification, classification, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted flow of electricity.

Helicobacter pylori negative, non-steroidal anti-inflammatory drug-negative peptic ulcers in India.

Introduction: The past decade has witnessed a global rise in the prevalence of peptic ulcer disease which is unrelated to non-steroidal anti-inflammatory drugs (NSAIDs) or Helicobacter pylori infection. Although initially recognized in the West, this disease is being increasingly recognized in the Asian population. The higher risk of bleeding and ulcer recurrence in this subgroup of patients highlights the clinical importance of analyzing the changing trends of peptic ulcer disease in developing countries.

Single center experience of capsule endoscopy in patients with obscure gastrointestinal bleeding.

Aim: To identify optimum timing to maximize diagnostic yield by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding (OGIB).

Methods: We identified patients who underwent CE at our institution from August 2003 to December 2009. Patient medical records were reviewed to determine type of OGIB (occult, overt), CE results and complications, and timing of CE with respect to onset of bleeding.

Spontaneous rupture of the bile duct associated with pancreatitis. A rare presentation.

Context: Spontaneous rupture of the bile duct, although rare, has been described as a known surgical cause of jaundice in infancy after biliary atresia.

Case Report: This article describes a four-year-old girl who presented with severe abdominal pain and features suggestive of acute pancreatitis, who developed gradual distension of the abdomen, and was found to have a ruptured bile duct, producing biliary peritonitis. She was managed with laparoscopic drainage of the peritoneal cavity.