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Ish: A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Maqola201690 iqtibosABIImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
MaqolaOchiq kirish201728 iqtibosABIRethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe +2
Maqola201620 iqtibosABIMobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
PreprintOchiq kirish201819 iqtibosABIInception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy, Sergey Ioffe, Sergey Ioffe +2
MaqolaOchiq kirish20178 iqtibosABIConvolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh, J. Shin, Suryakanth Gurudu +4
MaqolaOchiq kirish20164 iqtibosABIA curated mammography data set for use in computer-aided detection and diagnosis research
Rebecca Sawyer Lee, Francisco Javier Giménez Fuentes‐Guerra, Assaf Hoogi +3
MaqolaOchiq kirish20174 iqtibosABIA review on image-based approaches for breast cancer detection, segmentation, and classification
Sharh maqola20213 iqtibosABITHE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY
Michael D. Heath, Kevin W. Bowyer, D B Kopans +1
Maqola20072 iqtibosABIThe Mammographic Image Analysis Society digital mammogram database
John Suckling, James Parker, Susan Astley +9
Maqola19942 iqtibosABIDeep learning in medical imaging and radiation therapy
Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski +5
Sharh maqolaOchiq kirish20182 iqtibosABITowards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma +4
MaqolaOchiq kirish20202 iqtibosABI