A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach.

Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate diagnosis is critical for effective treatment. Manual microscopic analysis of blood cells requires the involvement of medical experts, whose precision is dependent on their abilities, and it takes time.

Localization and recognition of leukocytes in peripheral blood: A deep learning approach.

Automatic recognition and classification of leukocytes helps medical practitioners to diagnose various blood-related diseases by analysing their percentages. Different researchers have come up with different algorithms that use traditional learning for the classification of different types of leukocytes. In contrast to traditional learning, in which no knowledge is retained that can be transferred from one model to another, our proposed algorithm uses deep learning approach for segmentation and classification.

Complication rates of phacoemulsification and manual small-incision cataract surgery at Aravind Eye Hospital.

Purpose: To analyze the rate of intraoperative complications, reoperations, and endophthalmitis with phacoemulsification, manual small-incision cataract surgery (SICS), and large-incision extracapsular cataract extraction (ECCE).

Setting: Aravind Eye Hospital, Madurai, India.

Design: Retrospective cohort study.

Identification of different subtypes of breast cancer using tissue microarray.

Breast cancer may be classified into luminal A, luminal B, HER2+/ER-, basal-like and normal-like subtypes based on gene expression profiling or immunohistochemical (IHC) characteristics. The main aim of the present study was to classify breast cancer into molecular subtypes based on immunohistochemistry findings and correlate the subtypes with clinicopathological factors. Two hundred and seventeen primary breast carcinomas tumor tissues were immunostained for ER, PR, HER2, CK5/6, EGFR, CK8/18, p53 and Ki67 using tissue microarray technique.