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20172022
most citedA Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images

25 citations · 82 across the 12 of their papers we have counts for

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7 papers · 1 filter

eess.IV20213 cited

Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings

Sobhan Shafiei, Morteza Babaie, Shivam Kalra +1

The Kimia Path24 dataset has been introduced as a classification and retrieval dataset for digital pathology. Although it provides multi-class data, the color information has been…

eess.IV202113 cited

Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides

Abtin Riasatian, Morteza Babaie, Danial Maleki +19

Feature vectors provided by pre-trained deep artificial neural networks have become a dominant source for image representation in recent literature. Their contribution to the perfo…

eess.IV2020

Ink Marker Segmentation in Histopathology Images Using Deep Learning

Danial Maleki, Mehdi Afshari, Morteza Babaie +1

Due to the recent advancements in machine vision, digital pathology has gained significant attention. Histopathology images are distinctly rich in visual information. The tissue gl…

eess.IV20191 cited

Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence

Shivam Kalra, H. R. Tizhoosh, Sultaan Shah +8

The emergence of digital pathology has opened new horizons for histopathology and cytology. Artificial-intelligence algorithms are able to operate on digitized slides to assist pat…

eess.IV2019

Patch Clustering for Representation of Histopathology Images

Wafa Chenni, Habib Herbi, Morteza Babaie +1

Whole Slide Imaging (WSI) has become an important topic during the last decade. Even though significant progress in both medical image processing and computational resources has be…

eess.IV20195 cited

Deep Features for Tissue-Fold Detection in Histopathology Images

Morteza Babaie, H. R. Tizhoosh

Whole slide imaging (WSI) refers to the digitization of a tissue specimen which enables pathologists to explore high-resolution images on a monitor rather than through a microscope…