v1v2 (latest)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer

13 April 2023

Papers citing "Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer"

27 / 27 papers shown

Title
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images Blanca Maria Priego Torres Bárbara Lobato-Delgado L. Atienza-Cuevas D. S. Morillo 52 21 0 22 Nov 2023
Classification with Deep Neural Networks and Logistic Loss Zihan Zhang Lei Shi Ding-Xuan Zhou 90 17 0 31 Jul 2023
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels Yongquan Yang Hong Bu 87 0 0 06 Jul 2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 89 28 0 09 May 2023
UNeXt: MLP-based Rapid Medical Image Segmentation Network Jeya Maria Jose Valanarasu Vishal M. Patel SSeg 78 520 0 09 Mar 2022
One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer Yongquan Yang Fengling Li Yani Wei Jie Chen Ning Chen Mohammad H. Alobaidi Hong Bu 91 9 0 20 Oct 2021
A Survey of Transformers Tianyang Lin Yuxin Wang Xiangyang Liu Xipeng Qiu ViT 202 1,148 0 08 Jun 2021
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 152 2,757 0 01 Apr 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 105 3,539 0 08 Feb 2021
A Survey on Ensemble Learning under the Era of Deep Learning Yongquan Yang Haijun Lv Ning Chen OOD 156 206 0 21 Jan 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 136 1,005 0 16 Jul 2020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation Huimin Huang Lanfen Lin Ruofeng Tong Hongjie Hu Qiaowei Zhang Yutaro Iwamoto Xianhua Han Yenwei Chen Jian Wu SSeg 86 1,819 0 19 Apr 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 135 2,670 0 11 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 133 551 0 05 Dec 2019
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation Gang Xu Zhigang Song Zhuo Sun Calvin Ku Zhe Yang Cancheng Liu Shuhao Wang Jianpeng Ma Wenyuan Xu MedIm 103 145 0 28 Aug 2019
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 175 5,107 0 11 Apr 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha V. Asari SSeg 133 1,019 0 20 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 294 19,431 0 13 Jan 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 259 5,621 0 21 Jul 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju Hormoz Shahrzad Arshak Navruzyan Nigel P. Duffy Babak Hodjat 127 891 0 01 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 534 10,374 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.1K 36,992 0 25 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 386 14,314 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.5K 195,053 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 2.0K 77,774 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.4K 150,597 0 22 Dec 2014
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 120 272 0 09 Jun 2014