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20212026
most citedOne Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

12 citations · 45 across the 16 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.IV2023★ 1 cited

Transformer-based Model for Oral Epithelial Dysplasia Segmentation

Adam J Shephard, Hanya Mahmood, Shan E Ahmed Raza +12

Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. OED grading is subject to large inter/intra-rater variability, re…

eess.IV2023

Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images

Arwa Al-Rubaian, Gozde N. Gunesli, Wajd A. Althakfi +3

Lung adenocarcinoma is a morphologically heterogeneous disease, characterized by five primary histologic growth patterns. The quantity of these patterns can be related to tumor beh…

eess.IV2023★ 10 cited

Domain Generalization in Computational Pathology: Survey and Guidelines

Mostafa Jahanifar, Manahil Raza, Kesi Xu +8

Deep learning models have exhibited exceptional effectiveness in Computational Pathology (CPath) by tackling intricate tasks across an array of histology image analysis application…

q-bio.QM2023

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia

Adam J Shephard, Raja Muhammad Saad Bashir, Hanya Mahmood +11

Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. Its grading suffers from significant inter-/intra- observer varia…

cs.CV2023

Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images

Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza +1

Semantic segmentation of various tissue and nuclei types in histology images is fundamental to many downstream tasks in the area of computational pathology (CPath). In recent years…

eess.IV2023★ 1 cited

Nuclear Segmentation and Classification: On Color & Compression Generalization

Quoc Dang Vu, Robert Jewsbury, Simon Graham +5

Since the introduction of digital and computational pathology as a field, one of the major problems in the clinical application of algorithms has been the struggle to generalize we…