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Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.

, , , and . CCIA, volume 375 of Frontiers in Artificial Intelligence and Applications, page 38-47. IOS Press, (2023)

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Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 833-840. Springer, (2018)Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network., , , , and . Traitement du Signal, 38 (3): 653-661 (2021)Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images., , , and . VISAPP (1), page 447-454. SciTePress, (2015)Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network., , , , , , , , , and 1 other author(s). CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 373-380. IOS Press, (2018)Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms., , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 106-115. IOS Press, (2017)Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network., , , , , , , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 76-85. IOS Press, (2017)Analysis of Temporal Coherence in Videos for Action Recognition., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 325-332. Springer, (2016)Modeling the Evolution of Breast Skin Temperatures for Cancer Detection., , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 117-126. IOS Press, (2016)Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines., , , , , , and . VISAPP (1), page 387-394. SciTePress, (2015)Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics., , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 269-278. IOS Press, (2022)