Medical imaging 2021 : digital pathology : 15-19 February 2021 / edited by John E. Tomaszewski, Aaron D. Ward.

Format:

Book

Contributor:

Tomaszewski, John E., editor.

Ward, Aaron D., editor.

Series:

Proceedings of SPIE--the International Society for Optical Engineering ; Volume 11603.

Proceedings of SPIE ; Volume 11603

Language:

English

Subjects (All):

Diagnostic imaging--Congresses.

Diagnostic imaging.

Physical Description:

1 online resource (338 pages).

Other Title:

Medical Imaging 2021

Place of Publication:

Bellingham, Washington : SPIE, [2021]

Contents:

Computational Pathology: What is the way forward? / Jeroen A. W. M. van der Laak

Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images / Witali Aswolinskiy; David Tellez; Gabriel Raya; Lieke van der Woude; Monika Looijen-Salamon; Jeroen van der Laak; Katrien Grunberg; Francesco Ciompi

Bladder cancer organoid image analysis: textured-based grading / Seda Camalan; M. Khalid Khan Niazi; Mahesh Devarasetty; Shay Soker; Metin N. Gurcan

Grading and localization of histological features for bioengineered kidney constructs / Thomas E. Tavolara; Gabriel Carreno-Galeano; Metin N. Gurcan; Sang Jin Lee; M. K. K. Niazi

End-to-end classification on basal-cell carcinoma histopathology whole-slides images / D. J. Geijs; H. Pinckaers; A. L. Amir; G. J. S. Litjens

A multi-scale conditional deep model for tumor cell ratio counting / Eric Cosatto; Kyle Gerard; Hans-Peter Graf; Maki Ogura; Tomoharu Kiyuna; Kanako C. Hatanaka; Yoshihiro Matsuno; Yutaka Hatanaka

Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images / Gal Gozes; Anat Shkolyar; Amit Gefen; Dafna Benayahu; Hayit Greenspan

Identifying lung imaging biomarkers of BCG vaccination after infection with Mycobacterium tuberculosis / Thomas E. Tavolara; M. K. K. Niazi; Gillian Beamer; Metin N. Gurcan

Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients / M. Brehler; A. K. Lowman; S. Bobholz; S. D. McGarry; J. Connelly; E. Cochran; P. S. LaViolette

A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment / Chang Bian; Yu Wang; Yu An; Hanfan Wang; Yang Du; Jie Tian

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets / Marcel Bengs; Michael Bockmayr; Ulrich Schüller; Alexander Schlaefer

Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease / Bradie Ferguson; Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Hui Li; Li Lan; Julian Bertini; Marcus R. Clark; Maryellen L. Giger

Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease / Darshana Govind; Briana A. Santo; Brandon Ginley; Rabi Yacoub; Avi Z. Rosenberg; Kuang-Yu Jen; Vighnesh Walavalkar; Gregory E. Wilding; Amber M. Worral; Imtiaz Mohammad; Pinaki Sarder

Whole slide semantic segmentation: large scale active learning for digital pathology / Jonathan Folmsbee; Margaret Brandwein-Weber; Scott Doyle

Active deep learning reduces annotation burden in automatic cell segmentation / Aritra Chowdhury; Sujoy K. Biswas; Simone Bianco

Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images / Rawan Albusayli; Dinny Graham; Nirmala Pathmanathan; Muhammad Shaban; Fayyaz Minhas; Jane E. Armes; Nasir M. Rajpoot

User friendly, cloud based, whole slide image segmentation / Brendon Lutnick; Avinash Kammardi Shashiprakash; David Manthey; Pinaki Sarder

Automatic glomerulus detection in renal histological images / Jonathan Moreira Cardozo Rehem; Washington Luís Conrado dos Santos; Angelo Amâncio Duarte; Luciano Rebouças de Oliveira; Michele Fúlvia Angelo

Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy / Tatsat R. Patel; Muhammad Waqas; Sarah Fricano; Adam A. Dmytriw; John Tomaszewski; Elad I. Levy; Kenneth V. Snyder; Jason M. Davies; Adnan H. Siddiqui; Vincent Tutino

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images / Mart van Rijthoven; Maschenka Balkenhol; Manfredo Atzori; Peter Bult; Jeroen van der Laak; Francesco Ciompi

Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer / Gouthamrajan Nadarajan; Scott Doyle

Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides / Ling Ma; Ximing Zhou; James V. Little; Amy Y. Chen; Larry L. Myers; Baran D. Sumer; Baowei Fei

Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning / Ximing Zhou; Ling Ma; William Brown; James V. Little; Amy Y. Chen; Larry L. Myers; Baran D. Sumer; Baowei Fei

Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens / Ivica Kopriva; Dario Sitnik; Gorana Aralica; Arijana Pacic; Marijana Popovic Hadžija; Mirko Hadžija

Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology / Freja Fagerblom; Karin Stacke; Jesper Molin

Co-registration tool for large format whole mount prostate multi-plex histology / M. Brehler; A. K. Lowman; S. Bobholz; S. D. McGarry; A. Banerjee; K. Iczkowski; P. S. LaViolette

Colorimetrical evaluation of color normalization methods for H&E-stained images / Jocelyn Liu; Samuel Lam; Paul Lemaillet; Wei-Chung Cheng

A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy / Avinash Kammardi Shashiprakash; Brendon Lutnick; Brandon Ginley; Darshana Govind; Nicholas Lucarelli; Kuang-Yu Jen; Avi Z. Rosenberg; Anatoly Urisman; Vighnesh Walavalkar; Jonathan E. Zuckerman; Marco Delsante; Mei Lin Z. Bissonnette; John E. Tomaszewski; David Manthey; Pinaki Sarder

Effect of formalin fixing on chromophore saliency maps derived from multi-spectral macropathology skin images / Eleni Aloupogianni; Hiroyuki Suzuki; Takaya Ichimura; Atsushi Sasaki; Hiroto Yanagisawa; Tetsuya Tsuchida; Masahiro Ishikawa; Naoki Kobayashi; Takashi Obi

Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer / Dhadma Balachandran; Margaret Brandwein-Weber; Jonathan Folmsbee; Scott Doyle

Histological grading of the prostate carcinoma using deep learning: an unsupervised approach / Markus Bauer; Sebastian Zürner; Markus Kreuz; Dominik Otto; Georg Popp; Ulf-Dietrich Braumann

Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour / Ellhia Sudin; Dorina Roy; Nourdin Kadi; Panagiotis Triantafyllakis; Guprit Atwal; Alastair Gale; Ian Ellis; David Snead; Yan Chen

Multiple-datasets and multiple-label based color normalization in histopathology with cGAN / Jing Ke; Yiqing Shen; Xinyu Jiang; Yi Guo; Yaobing Chen; Xiaoyao Liang

Breast cancer magnification-independent multi-class histopathology classification using dual-step model / Nathan Lang; Devansh Saxena; Tina Yen; Julie Jorns; Bing Yu; Dong Hye Ye

Accurate pathological patch classification with regression / Rongxiao Tang; Bo Yuan; Zhenhua Guo

Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies / Madeleine S. Durkee; Rebecca Abraham; Junting Ai; Marcus R. Clark; Maryellen L. Giger

In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology / Kuang-Yu Jen; Leema Krishna Murali; Brendon Lutnick; Brandon Ginley; Darshana Govind; Hidetoshi Mori; Guofeng Gao; Pinaki Sarder

Distance ordinal regression loss for an improved nuclei segmentation / Tan Nhu Nhat Doan; Chang Hee Han; Jin Tae Kwak

Three-dimensional shape and topology analysis of tissue-cleared tumor samples / Danny Poinapen; Tadashi Yoshizawa; Yuan Zho; Nicholas Charon; Stephanie Mou; Kiyoko Oshima; Laura Wood; Ralph H.

Hruban; Wojciech Zbijewski

Application and generalizability of U-Net segmentation of immune cells in inflamed tissue / Rebecca Abraham; Madeleine S. Durkee; Margaret Veselits; Junting Ai; Jordan D. Fuhrman; Marcus R. Clark; Maryellen L. Giger

Reproducibility in deep learning algorithms for digital pathology applications: a case study using the CAMELYON16 datasets / Weizhe Li; Weijie Chen

Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum) / Markus Bauer; Sebastian Zürner; Markus Kreuz; Dominik Otto; Georg Popp; Ulf-Dietrich Braumann.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5106-4036-3