mlsanityData to 7 Oct 2026

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

arXiv 1806.01313 ↗First posted 4 Jun 2018cs.CVcited by 42

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Abstract (arXiv)

In this paper, we introduce a conceptually simple network for generating discriminative tissue-level segmentation masks for the purpose of breast cancer diagnosis. Our method efficiently segments different types of tissues in breast biopsy images while simultaneously predicting a discriminative map for identifying important areas in an image. Our network, Y-Net, extends and generalizes U-Net by adding a parallel branch for discriminative map generation and by supporting convolutional block modularity, which allows the user to adjust network efficiency without altering the network topology. Y-Net delivers state-of-the-art segmentation accuracy while learning 6.6x fewer parameters than its closest competitors. The addition of descriptive power from Y-Net's discriminative segmentation masks improve diagnostic classification accuracy by 7% over state-of-the-art methods for diagnostic classification. Source code is available at: https://sacmehta.github.io/YNet.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2018.

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Citing papers per year: 2021: 15; 2022: 10; 2023: 7; 2024: 6; 2025: 4.

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  11. 2021MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classificationcited by 12
  12. 2021DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTcited by 11
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  4. 2021U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Predictioncited by 4
  5. 2021Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Datacited by 4
  6. 2025Unified Supervision For Vision-Language Modeling in 3D Computed Tomographycited by 4
  7. 2022Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurementscited by 3
  8. 2022Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecturecited by 3
  9. 2022Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathologycited by 3
  10. 2022DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Gradingcited by 3
  11. 2023HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgerycited by 3
  12. 2023Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentationcited by 3
  13. 2022CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Imagecited by 2
  14. 2022FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentationcited by 2
  15. 2023Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoderscited by 2
  16. 2021Multi-task UNet architecture for end-to-end autonomous drivingcited by 1
  17. 2021Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Surveycited by 0
  18. 2021Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Networkcited by 0
  19. 2021Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rayscited by 0
  20. 2022A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortificationcited by 0
  21. 2022An Object Aware Hybrid U-Net for Breast Tumour Annotationcited by 0
  22. 2023Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRIcited by 0
  23. 2024Few-Shot Medical Image Segmentation with High-Fidelity Prototypescited by 0
  24. 20243D-LSPTM: An Automatic Framework with 3D-Large-Scale Pretrained Model for Laryngeal Cancer Detection Using Laryngoscopic Videoscited by 0
  25. 2024Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB imagescited by 0
  26. 2024S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentationcited by 0
  27. 2024Prototypical Few-Shot Medical Image Semantic Segmentation with Background Fusioncited by 0
  28. 2025FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentationcited by 0
  29. 2025A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progressioncited by 0
  30. 2025A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understandingcited by 0