Papers citing 'Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network'

Title
OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis Istiak Ahmed Galib Ahmed Kazi Shahriar Sanjid Md. Tanzim Hossain Md. Nishan Khan ... Sharmin Akhtar Rupa Mohammed Mejbahuddin Mia Mahmud Hasan Mostofa Kamal Md. Mostafa Kamal Sarker M. M. Uddin 48 0 0 24 Nov 2025
Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine ApplicationsComputers in Biology and Medicine (Comput. Biol. Med.), 2025 Ahmed Kabil Ghada Khoriba Mina Yousef Essam A. Rashed 108 0 0 01 Oct 2025
Framework for lung CT image segmentation based on UNet++Applied and Computational Engineering (ACE), 2025 Hao Ziang Jingsi Zhang Lixian Li SSeg 235 4 0 05 Jan 2025
Computer Aided Detection and Classification of mammograms using Convolutional Neural Network Kashif Ishaq Muhammad Mustagis 68 0 0 04 Sep 2024
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?Biomedical Signal Processing and Control (BSPC), 2022 Bruno Machado Pacheco G. Cassia Danilo Silva 3DV 105 12 0 14 Dec 2022
SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022 Sharif Amit Kamran Khondker Fariha Hossain Alireza Tavakkoli G. Bebis Salah A. Baker ViT 91 7 0 16 Nov 2022
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted FeaturesBiomedical Signal Processing and Control (BSPC), 2022 Unaiza Sajid Rizwan Ahmed Khan S. M. Shah Sheeraz Arif OOD 112 51 0 26 Jun 2022
A Combined PCA-MLP Network for Early Breast Cancer Detection Md. Wahiduzzaman Khan Arnob Arunima Dey Pooja Md. Saif Hassan Onim 34 4 0 18 Jun 2022
Artificial Intelligence For Breast Cancer Detection: Trends & Directions S. M. Shah Rizwan Ahmed Khan Sheeraz Arif Unaiza Sajid OOD 180 78 0 03 Oct 2021
A survey on deep learning approaches for breast cancer diagnosis Timothy C. H. Kwong S. Mazaheri MedIm 141 4 0 18 Sep 2021
Deep Active Contours Using Locally Controlled Distance Vector FlowSignal, Image and Video Processing (SIVP), 2021 Parastoo Akbarimoghaddam Atefeh Ziaei H. Azarnoush 131 5 0 18 May 2021
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial RegularizationIEEE International Symposium on Biomedical Imaging (ISBI), 2021 Arnaud Boutillon Bhushan S Borotikar C. Pons Valérie Burdin Pierre-Henri Conze MedIm 116 4 0 25 Jan 2021
Medical Image Segmentation Using Deep Learning: A SurveyIET Image Processing (IIP), 2020 Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 406 720 0 28 Sep 2020
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network Arnaud Boutillon Bhushan S Borotikar Valérie Burdin Pierre-Henri Conze MedIm 193 20 0 15 Sep 2020
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in MammographyIEEE Transactions on Medical Imaging (TMI), 2020 Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 133 68 0 07 Aug 2020
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review Subrato Bharati Prajoy Podder Hossain Mondal 104 72 0 29 May 2020
Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention Yutong Yan Pierre-Henri Conze G. Quellec M. Lamard B. Cochener Reda Bellafqira 149 1 0 27 Feb 2020
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks Pierre-Henri Conze A. Emre Kavur E. Gall N. Gezer Y. Meur M. Alper Selver F. Rousseau SSeg MedIm 123 107 0 26 Jan 2020
End to End Trainable Active Contours via Differentiable RenderingInternational Conference on Learning Representations (ICLR), 2019 Shir Gur Tal Shaharabany Lior Wolf MedIm 148 37 0 01 Dec 2019