Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

10.1007/978-3-030-61166-8_21 ◽

2020 ◽

pp. 193-203

Author(s):

Sebastian Otálora ◽

Niccolò Marini ◽

Henning Müller ◽

Manfredo Atzori

Keyword(s):

Prostate Cancer ◽

Image Classification ◽

Supervised Learning ◽

Convolutional Networks ◽

Teacher Student ◽

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2017.631 ◽

2017 ◽

Cited By ~ 89

Author(s):

Thibaut Durand ◽

Taylor Mordan ◽

Nicolas Thome ◽

Matthieu Cord

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Weakly Supervised Learning of Object-Part Attention Model for Fine-Grained Image Classification

2018 IEEE 18th International Conference on Communication Technology (ICCT) ◽

10.1109/icct.2018.8600125 ◽

2018 ◽

Cited By ~ 1

Author(s):

Chenxi Lei ◽

Linfeng Jiang ◽

Jingshen Ji ◽

Weilin Zhong ◽

Huilin Xiong

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Attention Model ◽

Fine Grained ◽

Object Part ◽

Advances in Intelligent Systems and Computing - Information Technology in Biomedicine ◽

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields

10.1007/978-3-030-23762-2_19 ◽

2019 ◽

pp. 209-221 ◽

Cited By ~ 3

Author(s):

Chen Li ◽

Hao Chen ◽

Dan Xue ◽

Zhijie Hu ◽

Le Zhang ◽

...

Keyword(s):

Image Classification ◽

Random Fields ◽

Conditional Random Fields ◽

Histopathological Image ◽

Weakly Supervised ◽

Histopathological Image Classification

The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method

Intelligent Automation & Soft Computing ◽

10.31209/2018.100000027 ◽

2018 ◽

Vol 24 (3) ◽

pp. 603-611

Author(s):

Kaijun Xu ◽

Xueting Chen ◽

Yusheng Yao ◽

Shanshan Li

Keyword(s):

Risk Assessment ◽

Supervised Learning ◽

Altitude Training ◽

Learning Method ◽

Low Altitude ◽

Weakly Supervised ◽

Conflict Risk

Proceedings of the 5th International Conference on Communication and Information Processing ◽

An improved weakly supervised learning system for detection of sound events in domestic environments

10.1145/3369985.3370007 ◽

2019 ◽

Author(s):

Dezhi Wang ◽

Lilun Zhang ◽

Xinghua Cheng ◽

Dan Zou ◽

Wenbin Xiao

Keyword(s):

Supervised Learning ◽

Learning System ◽

Domestic Environments ◽

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

Novel American Sign Language Fingerspelling Recognition in the Wild with Weakly Supervised Learning and Feature Embedding

10.1109/ecti-con51831.2021.9454677 ◽

2021 ◽

Author(s):

Peerawat Pannattee ◽

Wuttipong Kumwilaisak ◽

Chatchawarn Hansakunbuntheung ◽

Nattanun Thatphithakkul

Keyword(s):

American Sign Language ◽

Supervised Learning ◽

Sign Language ◽

American Sign ◽

In The Wild ◽

Weakly Supervised Learning Creates a Fusion of Modeling Cultures

Observational Studies ◽

10.1353/obs.2021.0011 ◽

2021 ◽

Vol 7 (1) ◽

pp. 203-211

Author(s):

Chengliang Tang ◽

Gan Yuan ◽

Tian Zheng

Keyword(s):

Supervised Learning ◽

Effects of Network Depths on Semantic Image Segmentation By Weakly Supervised Learning

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302471 ◽

2020 ◽

Author(s):

Cenk Bircanoglu ◽

Nafiz Arica

Keyword(s):

Image Segmentation ◽

Supervised Learning ◽

Semantic Image Segmentation ◽

Weakly Supervised Learning through Rank-based Contextual Measures

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9412596 ◽

2021 ◽

Author(s):

Joao Gabriel Camacho Presotto ◽

Lucas Pascotti Valem ◽

Nikolas Gomes de Sa ◽

Daniel Carlos Guimaraes Pedronette ◽

Joao Paulo Papa

Keyword(s):

Supervised Learning ◽