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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

10 October 2017

Kyoung Mu Lee

Papers citing "Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images"

26 / 26 papers shown

Title
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey Siteng Ma Honghui Du Yu An Jing Wang Qinqin Wang Haochang Wu Aonghus Lawlor Ruihai Dong 126 0 0 15 Apr 2025
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound Yuhao Huang Ao Chang Haoran Dou X. Tao Xinrui Zhou ... Ruobing Huang Alejandro F Frangi Lingyun Bao Xin Yang Dong Ni 123 1 0 26 Mar 2025
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound Arianna Bunnell Yannik Glaser Dustin Valdez T. Wolfgruber Aleen Altamirano Carol Zamora González Brenda Y. Hernandez Peter Sadowski John A. Shepherd 75 0 0 29 Jun 2024
Weakly-Supervised Learning via Multi-Lateral Decoder Branching for Tool Segmentation in Robot-Assisted Cardiovascular Catheterization O. Omisore T. Akinyemi Anh Nguyen Lei Wang 74 0 0 11 Apr 2024
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images Martynas Pocius Wen Yan D. Barratt M. Emberton Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 47 2 0 21 Feb 2024
LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation Hongjiang Guo Shengwen Wang Hao Dang Kangle Xiao Yaru Yang Wenpei Liu Tongtong Liu Yiying Wan 67 2 0 18 Nov 2023
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision Seung Yeon Shin Thomas C. Shen Ronald M. Summers 59 1 0 11 Jul 2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images Jian Wang Liang Qiao Shichong Zhou Jin Zhou Jun Wang Juncheng Li Shihui Ying Cai Chang Jun Shi 36 15 0 12 Jun 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 104 59 0 13 Apr 2023
$M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation$ M $^{2}$ SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation Xiaoqi Zhao Hongpeng Jia Youwei Pang Long Lv Feng Tian Lihe Zhang Weiwei Sun Huchuan Lu 170 20 0 20 Mar 2023
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework Zong Fan Ping Gong Shanshan Tang Christine U. Lee Xiaohui Zhang P. Song Shigao Chen Hua Li 23 2 0 11 Oct 2022
Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation Gongping Chen L. Li Jianxun Zhang Yu Dai SSeg 84 75 0 15 Sep 2022
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images Gongping Chen Yu Dai Jianxun Zhang Moi Hoon Yap 100 156 0 26 Apr 2022
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images Alzayat Saleh I. Laradji Corey Lammie David Vazquez C. Flavell M. R. Azghadi 61 11 0 30 Sep 2021
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations Yichi Zhang J. Kers C. Cassol J. Roelofs N. Idrees ... Samir A. Haroon K. Daly S. Ganguli V. Chitalia V. Kolachalama SSeg MedIm 63 6 0 10 Aug 2021
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images Hamza Rasaee H. Rivaz AAML 35 18 0 09 Aug 2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction Yan Wang Peng Tang Yuyin Zhou Wei Shen Elliot K. Fishman Alan Yuille MedIm 43 24 0 31 May 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation Vien Ngoc Dang Francesco Galati Rosa Cortese G. Giacomo Viola Marconeto Pratek Mathur Karim Lekadir Marco Lorenzi F. Prados Maria A. Zuluaga MedIm 54 35 0 22 Jan 2021
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review Yuliana Jiménez-Gaona María José Rodríguez-Álvarez Vasudevan Lakshminarayanan 57 71 0 30 Sep 2020
Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images Jooyeol Yun JungWoo Oh Ildong Yun 33 5 0 19 Aug 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 77 15 0 25 Apr 2020
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization M. R. Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang GAN MedIm 80 91 0 16 Aug 2019
Deep learning in ultrasound imaging Ruud J. G. van Sloun Regev Cohen Yonina C. Eldar 102 229 0 05 Jul 2019
Learning to segment microscopy images with lazy labels Rihuan Ke Aurélie Bugeau Nicolas Papadakis Peter Schütz Carola-Bibiane Schönlieb 53 10 0 20 Jun 2019
Weakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net R. Bakalo Jacob Goldberger Rami Ben-Ari 28 4 0 29 Apr 2019
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 86 753 0 17 Apr 2018