PROCEEDINGS VOLUME 10956
SPIE MEDICAL IMAGING | 16-21 FEBRUARY 2019
Medical Imaging 2019: Digital Pathology
Proceedings Volume 10956 is from: Logo
SPIE MEDICAL IMAGING
16-21 February 2019
San Diego, California, United States
Keynote and Microscopy
Proc. SPIE 10956, Pixels to diagnosis: image analysis for digital pathology (Conference Presentation), 1095603 (19 March 2019); doi: 10.1117/12.2518557
Proc. SPIE 10956, Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression, 1095604 (18 March 2019); doi: 10.1117/12.2513058
Proc. SPIE 10956, Skeleton-based image registration of serial electron microscopy sections, 1095605 (18 March 2019); doi: 10.1117/12.2512808
Diagnosis, Prognosis, Predictive Analysis
Proc. SPIE 10956, Scale embedding shared neural networks for multiscale histological analysis of prostate cancer, 1095606 (18 March 2019); doi: 10.1117/12.2512807
Proc. SPIE 10956, Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer, 1095607 (19 March 2019); doi: 10.1117/12.2513048
Proc. SPIE 10956, Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models, 1095608 (18 March 2019); doi: 10.1117/12.2513598
Proc. SPIE 10956, A deep learning framework for context-aware mitotic activity estimation in whole slide images, 1095609 (18 March 2019); doi: 10.1117/12.2512705
Proc. SPIE 10956, High resolution whole prostate biopsy classification using streaming stochastic gradient descent, 109560A (18 March 2019); doi: 10.1117/12.2512817
Precision Medicine and Grading
Proc. SPIE 10956, Computer aided antibody screening for IHC assay development, 109560C (18 March 2019); doi: 10.1117/12.2512613
Proc. SPIE 10956, Automatic high-grade cancer detection on prostatectomy histopathology images, 109560D (18 March 2019); doi: 10.1117/12.2512916
Proc. SPIE 10956, Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN, 109560E (18 March 2019); doi: 10.1117/12.2512924
Proc. SPIE 10956, Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping, 109560F (18 March 2019); doi: 10.1117/12.2512973
Proc. SPIE 10956, Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images, 109560G (18 March 2019); doi: 10.1117/12.2513137
Machine Learning Trends
Proc. SPIE 10956, From patch-level to ROI-level deep feature representations for breast histopathology classification, 109560H (18 March 2019); doi: 10.1117/12.2510665
Proc. SPIE 10956, Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks, 109560I (18 March 2019); doi: 10.1117/12.2512360
Proc. SPIE 10956, Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy, 109560J (18 March 2019); doi: 10.1117/12.2512991
Proc. SPIE 10956, Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks, 109560K (18 March 2019); doi: 10.1117/12.2512570
Proc. SPIE 10956, Automatic microscopic cell counting by use of deeply-supervised density regression model, 109560L (18 March 2019); doi: 10.1117/12.2513045
Segmentation and Feature Extraction
Proc. SPIE 10956, Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer, 109560M (18 March 2019); doi: 10.1117/12.2512892
Proc. SPIE 10956, Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data, 109560N (18 March 2019); doi: 10.1117/12.2512918
Proc. SPIE 10956, 3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease, 109560O (18 March 2019); doi: 10.1117/12.2512452
Proc. SPIE 10956, Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens, 109560P (18 March 2019); doi: 10.1117/12.2512970
Proc. SPIE 10956, Detection of acini in histopathology slides: towards automated prediction of breast cancer risk, 109560Q (18 March 2019); doi: 10.1117/12.2511408
Proc. SPIE 10956, Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning, 109560R (18 March 2019); doi: 10.1117/12.2512262
Poster Session
Proc. SPIE 10956, Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver , 109560S (18 March 2019); doi: 10.1117/12.2503907
Proc. SPIE 10956, Deep detection and classification of mitotic figures, 109560T (18 March 2019); doi: 10.1117/12.2508770
Proc. SPIE 10956, An investigation of aggregated transfer learning for classification in digital pathology, 109560U (18 March 2019); doi: 10.1117/12.2511754
Proc. SPIE 10956, Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images?, 109560V (18 March 2019); doi: 10.1117/12.2512853
Proc. SPIE 10956, Digital pathology with hyperspectral imaging for colon and ovarian cancer, 109560X (18 March 2019); doi: 10.1117/12.2512328
Proc. SPIE 10956, Generalization of tumor identification algorithms, 109560Z (18 March 2019); doi: 10.1117/12.2512911
Proc. SPIE 10956, A system for one-shot learning of cervical cancer cell classification in histopathology images, 1095611 (18 March 2019); doi: 10.1117/12.2512963
Proc. SPIE 10956, Fragile neural networks: the importance of image standardization for deep learning in digital pathology, 1095613 (18 March 2019); doi: 10.1117/12.2512992
Proc. SPIE 10956, Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E, 1095614 (18 March 2019); doi: 10.1117/12.2513014
Proc. SPIE 10956, Cell nuclei segmentation in divergent images using deep learning and stochastic processing, 1095616 (18 March 2019); doi: 10.1117/12.2513105
Proc. SPIE 10956, Computational analysis of cerebrovascular structures imaged using two-photon microscopy, 1095617 (18 March 2019); doi: 10.1117/12.2513234
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