IEEE Trans Biomed Circuits Syst
Published: August 2019
The paper proposes an innovative deep convolutional neural network (DCNN) combined with texture map for detecting cancerous regions and marking the ROI in a single model automatically. The proposed DCNN model contains two collaborative branches, namely an upper branch to perform oral cancer detection, and a lower branch to perform semantic segmentation and ROI marking. With the upper branch the network model extracts the cancerous regions, and the lower branch makes the cancerous regions more precision. To make the features in the cancerous more regular, the network model extracts the texture images from the input image. A sliding window is then applied to compute the standard deviation values of the texture image. Finally, the standard deviation values are used to construct a texture map, which is partitioned into multiple patches and used as the input data to the deep convolutional network model. The method proposed by this paper is called texture-map-based branch-collaborative network. In the experimental result, the average sensitivity and specificity of detection are up to 0.9687 and 0.7129, respectively based on wavelet transform. And the average sensitivity and specificity of detection are up to 0.9314 and 0.9475, respectively based on Gabor filter.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TBCAS.2019.2918244 | DOI Listing |
Scand J Urol
January 2025
Department of Urology, Odense University Hospital, Odense, Denmark; Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Objective: Early and accurate diagnosis of prostate cancer (PC) is crucial for effective treatment. Diagnosing clinically insignificant cancers can lead to overdiagnosis and overtreatment, highlighting the importance of accurately selecting patients for further evaluation based on improved risk prediction tools. Novel biomarkers offer promise for enhancing this diagnostic process.
View Article and Find Full Text PDFPalliat Support Care
January 2025
Department of Palliative Medicine, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.
Objectives: Wishes to hasten death (WTHDs) are common in patients with serious illness. The Schedule of Attitudes Toward Hastened Death (SAHD) is a validated 20-item instrument for measuring WTHD. Two short versions have also been developed based on statistical item selection.
View Article and Find Full Text PDFEmergencias
December 2024
Servicio de Análisis Clínicos, Hospital Universitario Santa Lucía, Cartagena, Murcia, España.
Objective: To analyze the usefulness of mean mid-regional pro-adrenomedullin (MR-proADM) level to stratify risk in emergency department patients with solid tumors attended for febrile neutropenia after chemotherapy. To compare risk prediction with MR-proADM to that of conventional biomarkers and scores on the Multinational Association for Supportive Care in Cancer (MASCC) score.
Methods: Prospective observational cohort study enrolling patients with solid tumors who developed febrile neutropenia after chemotherapy.
J Phys Chem B
January 2025
School of the Chemical Science, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India.
The folding of the guanine repetitive region in the telomere unit into G-quadruplex (G4) by drugs has been suggested as an alternative approach for cancer therapy. Hydroxychloroquine (HCQ) and chloroquine (CQ) are two important drugs in the trial stage for cancer. Both drugs can induce the folding of telomere-guanine-rich sequences into G4 even in the absence of salt.
View Article and Find Full Text PDFCureus
December 2024
Department of Radiology, University of Medicine and Pharmacy of Craiova, Craiova, ROU.
Background: Cervical cancer is considered one of the most common gynecological malignancies with an increased incidence in developing countries. Magnetic resonance imaging (MRI) plays a valuable role in staging cervical cancer and providing valuable information necessary for selecting the appropriate treatment plan, while closely correlating with the prognosis of the patient.
Objective: The aim of this study is to assess the diagnostic value of diffusion-weighted imaging (DWI) in the preoperative loco-regional staging of cervical carcinoma.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!
© LitMetric 2025. All rights reserved.