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Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.

A. Rakhlin, A. Shvets, V. Iglovikov, and A. Kalinin. ICIAR, volume 10882 of Lecture Notes in Computer Science, page 737-744. Springer, (2018)

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Dr. Vladimir Knjasev University of Stuttgart

Dr. Vladimir Atanasov University of Stuttgart

Vladimir Mikheev University of Stuttgart

Vladimir Yussupov University of Stuttgart

Other publications of authors with the same name

Feature Pyramid Network for Multi-Class Land Segmentation.S. Seferbekov, V. Iglovikov, A. Buslaev, and A. Shvets. CVPR Workshops, page 272-275. IEEE Computer Society, (2018)Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition.V. Iglovikov, S. Mushinskiy, and V. Osin. CoRR, (2017)TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation.V. Iglovikov, and A. Shvets. CoRR, (2018)Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks.V. Iglovikov, A. Rakhlin, A. Kalinin, and A. Shvets. CoRR, (2017)TernausNetV2: Fully Convolutional Network for Instance Segmentation.V. Iglovikov, S. Seferbekov, A. Buslaev, and A. Shvets. CVPR Workshops, page 233-237. IEEE Computer Society, (2018)Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery.A. Buslaev, S. Seferbekov, V. Iglovikov, and A. Shvets. CVPR Workshops, page 207-210. IEEE Computer Society, (2018)2017 Robotic Instrument Segmentation Challenge.M. Allan, A. Shvets, T. Kurmann, Z. Zhang, R. Duggal, Y. Su, N. Rieke, I. Laina, N. Kalavakonda, S. Bodenstedt and 9 other author(s). CoRR, (2019)Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.A. Rakhlin, A. Shvets, V. Iglovikov, and A. Kalinin. ICIAR, volume 10882 of Lecture Notes in Computer Science, page 737-744. Springer, (2018)Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning.A. Shvets, A. Rakhlin, A. Kalinin, and V. Iglovikov. ICMLA, page 624-628. IEEE, (2018)Breast Tumor Cellularity Assessment using Deep Neural Networks.A. Rakhlin, A. Shvets, A. Kalinin, A. Tiulpin, V. Iglovikov, and S. Nikolenko. CoRR, (2019)