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1705.06362
Cited By

Optimizing and Visualizing Deep Learning for Benign/Malignant
Classification in Breast Tumors

Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors

17 May 2017

Jared A. Dunnmon

ArXiv (abs)PDF HTML

Papers citing "Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors"

5 / 5 papers shown

FedDCT: Federated Learning of Large Convolutional Neural Networks on
Resource Constrained Devices using Divide and Collaborative Training

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative TrainingIEEE Transactions on Network and Service Management (IEEE TNSM), 2022

Truong Thao Nguyen

332

11

0

20 Nov 2022

Low-Memory Neural Network Training: A Technical Report

Low-Memory Neural Network Training: A Technical Report

Christopher R. Aberger

Megan Leszczynski

Christopher Ré

287

111

0

24 Apr 2019

MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine
Collaboration in Breast Cancer Diagnosis

MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis

Theodore L. Willke

160

39

0

30 Oct 2018

Convolutional Neural Networks for Histopathology Image Classification:
Training vs. Using Pre-Trained Networks

Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks

H. R. Tizhoosh

186

133

0

11 Oct 2017

A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
Classification

A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification

161

155

0

21 Jul 2017

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