Back to search

Article

Assessment of Deep Learning Algorithms to Predict Histopathological Diagnosis of Breast Cancer: First Moroccan Prospective Study on a Private Dataset

2021-08-31

Abstract excerpt

<title>Abstract</title> <p><bold>Objective:</bold> Breast cancer is a critical public health issue and a leading cause of cancer-related deaths among women worldwide. Its early diagnosis and detection can effectively help in increasing the chances of survival rate. The aim of this work is to develop a computational approach based on deep convolutional neural networks for an efficient classification of breast canc...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
00d4c5aa-69d0-51a7-b4e0-a207417bc214
DOI
10.21203/rs.3.rs-855143/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Assessment of Deep Learning Algorithms to Predict Histopathological Diagnosis of Breast Cancer: First Moroccan Prospective Study on a Private DatasetDOI 10.21203/rs.3.rs-855143/v1
Select a neighboring publication to make it the new centre.