相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Real-time application based CNN architecture for automatic USCT bone image segmentation
Marwa Fradi et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation
Tariq M. Khan et al.
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022) (2022)
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images
Haijun Lei et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)
A Hybrid-Attention Nested UNet for Nuclear Segmentation in Histopathological Images
Hongliang He et al.
FRONTIERS IN MOLECULAR BIOSCIENCES (2021)
Recurrent Neural Networks for Edge Intelligence: A Survey
Varsha S. Lalapura et al.
ACM COMPUTING SURVEYS (2021)
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
Noriaki Hashimoto et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks
Bo Hu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Peter Bandi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Multiple instance learning for histopathological breast cancer image classification
P. J. Sudharshan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Pathologist-level classification of histopathological melanoma images with deep neural networks
Achim Hekler et al.
EUROPEAN JOURNAL OF CANCER (2019)
Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
Jian Ren et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2019)
Multi-Stage Pathological Image Classification using Semantic Segmentation
Shusuke Takahama et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Hiroki Tokunaga et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-Scale Convolutional Neural Networks
Li Tong et al.
2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1 (2019)
Representation learning-based unsupervised domain adaptation for classification of breast cancer histopathology images
Pendar Alirezazadeh et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2018)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu et al.
BMC BIOINFORMATICS (2017)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)