Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

8 May 2018

Saeid Asgari Taghanaki

Puneet Sharma

Papers citing "Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation"

27 / 27 papers shown

Title
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D* Eunsoo Im Jung Kwon Lee Changhyun Jee 41 0 0 15 Apr 2025
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning Zanting Ye Xiaolong Niu Xuanbin Wu Wantong Lu Lijun Lu 46 0 0 05 Mar 2025
Centerline Boundary Dice Loss for Vascular Segmentation Pengcheng Shi Jiesi Hu Yanwu Yang Zilve Gao Wei Liu Ting Ma 42 8 0 01 Jul 2024
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 42 3 0 07 Jun 2024
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 25 2 0 10 Apr 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation Minghui Zhang Yang Wu Hanxiao Zhang Yulei Qin Hao Zheng ... Raúl San José Estépar C. Espinosa Jiayuan Sun Guang-Zhong Yang Yun Gu 15 12 0 10 Mar 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images Yuki Kondo Norimichi Ukita SupR 24 8 0 24 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes MedIm 28 8 0 08 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 35 6 0 07 Feb 2023
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images Jianye Yi Xiaopin Zhong Weixiang Liu Zongze Wu Yuanlong Deng Zhengguang Wu 34 0 0 10 Nov 2022
Ground then Navigate: Language-guided Navigation in Dynamic Scenes Kanishk Jain Varun Chhangani Amogh Tiwari K. M. Krishna Vineet Gandhi LM&Ro 18 27 0 24 Sep 2022
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation Skylar E. Stolte Kyle Volle A. Indahlastari Alejandro Albizu A. Woods Kevin Brink Matthew Hale R. Fang 22 5 0 13 Sep 2022
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation Azade Farshad Yousef Yeganeh Peter L. Gehlbach Nassir Navab 34 34 0 15 Apr 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Pingping Dai Licong Dong Ruihan Zhang Haiming Zhu Jie Wu Kehong Yuan MedIm 24 4 0 20 Mar 2022
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian V. Dalca Polina Golland N. Rost UQCV 30 7 0 13 Dec 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation Junjiao Tian Niluthpol Chowdhury Mithun Zachary Seymour Han-Pang Chiu Z. Kira 11 31 0 28 Jun 2021
SemSegLoss: A python package of loss functions for semantic segmentation Shruti Jadon SSeg VLM 24 9 0 18 May 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses Bingyuan Liu Jose Dolz Adrian Galdran Riadh Kobbi Ismail Ben Ayed 35 15 0 18 Apr 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 32 394 0 08 Feb 2021
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
A survey of loss functions for semantic segmentation Shruti Jadon SSeg 35 823 0 26 Jun 2020
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation Orhan Akal Zhigang Peng G. Hermosillo 3DV 3DPC 22 4 0 09 Jun 2020
Penalizing small errors using an Adaptive Logarithmic Loss Chaitanya Kaul Nick E. Pears Hang Dai Roderick Murray-Smith S. Manandhar 22 9 0 22 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 667 0 16 Oct 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 307 10,621 0 19 Feb 2017
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 200 363 0 26 Jan 2016