Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms

A Sahu, PK Das, S Meher - Physica Medica, 2023 - Elsevier
Objective: Mammogram-based automatic breast cancer detection has a primary role in
accurate cancer diagnosis and treatment planning to save valuable lives. Mammography is …

A review on machine learning techniques for the assessment of image grading in breast mammogram

KU Rehman, J Li, Y Pei, A Yasin - International Journal of Machine …, 2022 - Springer
Breast cancer is the 2nd leading cancer of death among women around the world. In Asia
and Africa due to low income, the mortality rates are very high as compared to Europe and …

Simple hemogram to support the decision-making of COVID-19 diagnosis using clusters analysis with self-organizing maps neural network

AA De Souza, DC De Almeida, TS Barcelos… - Soft …, 2021 - pmc.ncbi.nlm.nih.gov
The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) which is related to new coronavirus disease (COVID-19) has mobilized several scientifics …

A comprehensive study of mammogram classification techniques

P Oza, Y Shah, M Vegda - Tracking and preventing diseases with artificial …, 2022 - Springer
Cancer instances have increased in the recent past and are risking many lives. Every kind of
cancer is caused due to a malignant (cancerous) tumor which looks pretty similar to a …

ANN Classification and Modified Otsu Labeling on Retinal Blood Vessels

K Balasubramanian, A NP - Current Signal Transduction …, 2021 - ingentaconnect.com
Background: Diagnosis of ophthalmologic and cardiovascular systems most often rely on the
prerequisite step of segmentation of retinal blood vessels. Analysis of vascular structures in …

[引用][C] IMPROVED SELF-ORGANIZING MAPS BASED ON DISTANCE TRAVELLED BY NEURONS.

H OMARA, M LAZAAR, Y TABII - Journal of Theoretical & Applied Information …, 2018