Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images
Authors
Keywords
-
Journal
MODERN PATHOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-09-05
DOI
10.1038/s41379-022-01146-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Cancer Statistics, 2021
- (2021) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- The utility of color normalization for AI ‐based diagnosis of hematoxylin and eosin‐stained pathology images
- (2021) Jeffrey Boschman et al. JOURNAL OF PATHOLOGY
- Emerging molecular alterations leading to histology-specific targeted therapies in ovarian cancer beyond PARP inhibitors
- (2021) M. Bartoletti et al. CANCER TREATMENT REVIEWS
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Veliparib with First-Line Chemotherapy and as Maintenance Therapy in Ovarian Cancer
- (2019) Robert L. Coleman et al. NEW ENGLAND JOURNAL OF MEDICINE
- The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies
- (2019) David A Farnell et al. HISTOPATHOLOGY
- Ovarian Carcinoma Histotype
- (2018) Martin Köbel et al. INTERNATIONAL JOURNAL OF GYNECOLOGICAL PATHOLOGY
- Histotype classification of ovarian carcinoma: A comparison of approaches
- (2018) Lauren C. Peres et al. GYNECOLOGIC ONCOLOGY
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
- (2016) Abhishek Vahadane et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Poor Interobserver Reproducibility in the Diagnosis of High-grade Endometrial Carcinoma
- (2013) C. Blake Gilks et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- Biomarker-Based Ovarian Carcinoma Typing: A Histologic Investigation in the Ovarian Tumor Tissue Analysis Consortium
- (2013) M. Kobel et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Reproducibility of histological cell type in high-grade endometrial carcinoma
- (2013) Guangming Han et al. MODERN PATHOLOGY
- Color standardization and optimization in Whole Slide Imaging
- (2011) Yukako Yagi Diagnostic Pathology
- Diagnosis of Ovarian Carcinoma Cell Type is Highly Reproducible
- (2010) Martin Köbel et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- Endometrial carcinoma: controversies in histopathological assessment of grade and tumour cell type
- (2010) B. A. Clarke et al. JOURNAL OF CLINICAL PATHOLOGY
- Ovarian Carcinoma Subtypes Are Different Diseases: Implications for Biomarker Studies
- (2008) Martin Köbel et al. PLOS MEDICINE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started