Breast Cancer Detection

16 papers with code • 2 benchmarks • 0 datasets

This task has no description! Would you like to contribute one?

Datasets


Greatest papers with code

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

nyukat/breast_cancer_classifier 20 Mar 2019

We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200, 000 exams (over 1, 000, 000 images).

Breast Cancer Detection Medical Diagnosis

Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography

lishen/end2end-all-conv 30 Aug 2017

We also demonstrate that a whole image classifier trained using our end-to-end approach on the DDSM digitized film mammograms can be transferred to INbreast FFDM images using only a subset of the INbreast data for fine-tuning and without further reliance on the availability of lesion annotations.

Breast Cancer Detection

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

alexander-rakhlin/ICIAR2018 2 Feb 2018

In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification.

Breast Cancer Detection General Classification +2

XBNet : An Extremely Boosted Neural Network

tusharsarkar3/XBNet 9 Jun 2021

Neural networks have proved to be very robust at processing unstructured data like images, text, videos, and audio.

Anomaly Detection Breast Cancer Detection +5

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

nyukat/BIRADS_classifier 21 Mar 2017

In our work, we propose to use a multi-view deep convolutional neural network that handles a set of high-resolution medical images.

Breast Cancer Detection Medical Diagnosis

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

nyukat/GMIC 13 Feb 2020

In this work, we extend the globally-aware multiple instance classifier, a framework we proposed to address these unique properties of medical images.

Breast Cancer Detection Lesion Segmentation +2

Detecting and classifying lesions in mammograms with Deep Learning

riblidezso/frcnn_cad 26 Jul 2017

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms.

Breast Cancer Detection Object Detection

Differences between human and machine perception in medical diagnosis

nyukat/perception_comparison 28 Nov 2020

We compare the two with respect to their robustness to Gaussian low-pass filtering, performing a subgroup analysis on microcalcifications and soft tissue lesions.

Breast Cancer Detection Medical Diagnosis

Regression Concept Vectors for Bidirectional Explanations in Histopathology

medgift/iMIMIC-RCVs 9 Apr 2019

Explanations for deep neural network predictions in terms of domain-related concepts can be valuable in medical applications, where justifications are important for confidence in the decision-making.

Breast Cancer Detection Decision Making +1