UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 65

Sortiert nach

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1196-1206

2016

Volltextzugriff (PDF)

Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation

PloS one, 2017-01, Vol.12 (1), p.e0169875-e0169875

2017

Volltextzugriff (PDF)

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study

The Lancet. Digital health, 2021-12, Vol.3 (12), p.e763-e772

2021

Volltextzugriff (PDF)

Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection

Applied sciences, 2022-04, Vol.12 (8), p.3715

2022

Volltextzugriff (PDF)

Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis

British journal of cancer, 2021-03, Vol.124 (6), p.1130-1137

2021

Volltextzugriff (PDF)

A Federated Learning Approach to Tumor Detection in Colon Histology Images

Journal of medical systems, 2023-09, Vol.47 (1), p.99-99, Article 99

2023

Volltextzugriff (PDF)

Automatic detection of diseased tomato plants using thermal and stereo visible light images

PloS one, 2015-04, Vol.10 (4), p.e0123262-e0123262

2015

Volltextzugriff (PDF)

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations

The journal of pathology. Clinical research, 2022-03, Vol.8 (2), p.116-128

2022

Volltextzugriff (PDF)

Artificial intelligence‐based digital scores of stromal tumour‐infiltrating lymphocytes and tumour‐associated stroma predict disease‐specific survival in triple‐negative breast cancer

The Journal of pathology, 2023-05, Vol.260 (1), p.32-42

2023

Volltextzugriff (PDF)

A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma

The Journal of pathology, 2022-02, Vol.256 (2), p.174-185

2022

Volltextzugriff (PDF)

AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer

The journal of pathology. Clinical research, 2024-01, Vol.10 (1), p.e346-n/a

2024

Volltextzugriff (PDF)

Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

Gut, 2023-09, Vol.72 (9), p.1709

2023

Volltextzugriff (PDF)

Unmasking the immune microecology of ductal carcinoma in situ with deep learning

NPJ breast cancer, 2021-03, Vol.7 (1), p.19-19, Article 19

2021

Volltextzugriff (PDF)

A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia

The Journal of pathology, 2023-08, Vol.260 (4), p.431-442

2023

Volltextzugriff (PDF)

Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application

Modern pathology, 2024-03, Vol.37 (3), p.100416-100416, Article 100416

2024

Volltextzugriff (PDF)

Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence

Modern pathology, 2023-10, Vol.36 (10), p.100254-100254, Article 100254

2023

Volltextzugriff (PDF)

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

Medical image analysis, 2019-12, Vol.58, p.101563-101563, Article 101563

2019

Volltextzugriff (PDF)

Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology

Frontiers in oncology, 2019-10, Vol.9, p.1045-1045

2019

Volltextzugriff (PDF)

TIAToolbox as an end-to-end library for advanced tissue image analytics

Communications medicine, 2022-09, Vol.2 (1), p.120-120, Article 120

2022

Volltextzugriff (PDF)

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival

IEEE access, 2023, Vol.11, p.23335-23346

2023

Volltextzugriff (PDF)

Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery

PloS one, 2014-06, Vol.9 (6), p.e97612-e97612

2014

Volltextzugriff (PDF)

Micro-Net: A unified model for segmentation of various objects in microscopy images

Medical image analysis, 2019-02, Vol.52, p.160-173

2019

Volltextzugriff (PDF)

Handcrafted features with convolutional neural networks for detection of tumor cells in histology images

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.1029-1032

2016

Volltextzugriff (PDF)

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification

Medical image analysis, 2023-01, Vol.83, p.102685-102685, Article 102685

2023

Volltextzugriff (PDF)

1 – 25 von 65

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(52)
Mit Volltextzugriff
(62)

Publikationsform

Sprache

Englisch
(65)
Japanisch
(4)

Erscheinungsjahr

n.n

Thema

Science & Technology
(54)
Life Sciences & Biomedicine
(45)
Humans
(27)
Technology
(27)
Computer Science
(25)
Deep Learning
(22)
Radiology, Nuclear Medicine & Medical Imaging
(20)
Engineering
(19)
Computer Science, Artificial Intelligence
(16)
Artificial Intelligence
(15)
Engineering, Biomedical
(15)
Tumors
(15)
Algorithms
(14)
Machine Learning
(14)
Computational Pathology
(13)
Computer Science, Interdisciplinary Applications
(13)
Oncology
(12)
Pathology
(12)
Female
(10)
Histology
(10)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(1)
... seit 90 Tagen
(2)

Menü

Weitere Dienste

Einstellungen

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study

Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection

Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis

A Federated Learning Approach to Tumor Detection in Colon Histology Images

Automatic detection of diseased tomato plants using thermal and stereo visible light images

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations

Artificial intelligence‐based digital scores of stromal tumour‐infiltrating lymphocytes and tumour‐associated stroma predict disease‐specific survival in triple‐negative breast cancer

A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma

AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer

Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

Unmasking the immune microecology of ductal carcinoma in situ with deep learning

A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia

Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application

Immune Surveillance in Clinical Regression of Preinvasive Squamous Cell Lung Cancer

Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology

TIAToolbox as an end-to-end library for advanced tissue image analytics

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival

Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery

Micro-Net: A unified model for segmentation of various objects in microscopy images

Handcrafted features with convolutional neural networks for detection of tumor cells in histology images

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification

Suchergebnisse filtern