ECDP 2019 | A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues
ECDP 2019 | A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

ECDP 2019 | A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

ECDP 2019 | A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

|
ECDP 2019 | PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and...

ECDP 2019 | PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and...

|
ECDP 2019 | Artificial Intelligence based automated segmentation of oral epithelium to aid...

ECDP 2019 | Artificial Intelligence based automated segmentation of oral epithelium to aid...

|
Thierry Pecot - Deep learning to segment nuclei with only 3 annotated images - Imaging ONEWORLD

Thierry Pecot - Deep learning to segment nuclei with only 3 annotated images - Imaging ONEWORLD

|
VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images

VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images

|
Evaluating the Impact of Color Normalization on Kidney Image Segmentation

Evaluating the Impact of Color Normalization on Kidney Image Segmentation

|
817 - Style Consistent Image Generation for Nuclei Instance Segmentation

817 - Style Consistent Image Generation for Nuclei Instance Segmentation

|
Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images

Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images

|
Mitosis detection in histopathology images based on deep learning model

Mitosis detection in histopathology images based on deep learning model

|
Multi-Object Graph-Based Segmentation With Non-Overlapping Surfaces

Multi-Object Graph-Based Segmentation With Non-Overlapping Surfaces

|
The Utility of Color Normalization for AI-Based Diagnosis of H&E-Stained Pathology Images

The Utility of Color Normalization for AI-Based Diagnosis of H&E-Stained Pathology Images

|
Artificial Intelligence and Pathology Towards an improved diagnosis of cancer

Artificial Intelligence and Pathology Towards an improved diagnosis of cancer

|
Faisal Mahmood PhD - Virtual Pathology Grand Rounds - May 1, 2020

Faisal Mahmood PhD - Virtual Pathology Grand Rounds - May 1, 2020

|
2020Apr23 Tissue-based RNA detection w/ PAS: Quantitative Image Analysis from Histopathology Experts

2020Apr23 Tissue-based RNA detection w/ PAS: Quantitative Image Analysis from Histopathology Experts

|
On Boosting the Accuracy for the Classification of Histopathological Slides

On Boosting the Accuracy for the Classification of Histopathological Slides

|
ISBI 2020 MoNuSAC Workshop

ISBI 2020 MoNuSAC Workshop

|
WACV18: ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection...

WACV18: ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection...

|
Machine Learning for Pathology - Lecture 19 - MIT Deep Learning in the Life Sciences (Spring 2021)

Machine Learning for Pathology - Lecture 19 - MIT Deep Learning in the Life Sciences (Spring 2021)

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle