A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

An integrated iterative annotation technique for easing neural network training in medical image analysis

B Lutnick, B Ginley, D Govind, SD McGarry… - Nature machine …, 2019 - nature.com
Neural networks promise to bring robust, quantitative analysis to medical fields. However,
their adoption is limited by the technicalities of training these networks and the required …

Artificial intelligence in liver imaging: methods and applications

P Zhang, C Gao, Y Huang, X Chen, Z Pan… - Hepatology …, 2024 - Springer
Liver disease is regarded as one of the major health threats to humans. Radiographic
assessments hold promise in terms of addressing the current demands for precisely …

Localization of diagnostically relevant regions of interest in whole slide images: a comparative study

E Mercan, S Aksoy, LG Shapiro, DL Weaver… - Journal of digital …, 2016 - Springer
Whole slide digital imaging technology enables researchers to study pathologists'
interpretive behavior as they view digital slides and gain new understanding of the …

Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network

A Pal, U Garain, A Chandra, R Chatterjee… - Computer methods and …, 2018 - Elsevier
Background and objective Development of machine assisted tools for automatic analysis of
psoriasis skin biopsy image plays an important role in clinical assistance. Development of …

[HTML][HTML] Towards generation, management, and exploration of combined radiomics and pathomics datasets for cancer research

J Saltz, J Almeida, Y Gao, A Sharma… - AMIA Summits on …, 2017 - ncbi.nlm.nih.gov
Cancer is a complex multifactorial disease state and the ability to anticipate and steer
treatment results will require information synthesis across multiple scales from the host to the …

Automated analysis and classification of melanocytic tumor on skin whole slide images

H Xu, C Lu, R Berendt, N Jha, M Mandal - Computerized medical imaging …, 2018 - Elsevier
This paper presents a computer-aided technique for automated analysis and classification of
melanocytic tumor on skin whole slide biopsy images. The proposed technique consists of …

[HTML][HTML] A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images

P Kleczek, J Jaworek-Korjakowska… - … Medical Imaging and …, 2020 - Elsevier
Tissue segmentation in whole-slide images is an important task in digital pathology,
required for efficient and accurate computer-aided diagnostics. Precise tissue segmentation …

Automated analysis and diagnosis of skin melanoma on whole slide histopathological images

C Lu, M Mandal - Pattern Recognition, 2015 - Elsevier
Melanoma is the most aggressive type of skin cancer, and the pathological examination
remains the gold standard for the final diagnosis. Traditionally, the histopathology slides are …

[HTML][HTML] An assessment of imaging informatics for precision medicine in cancer

C Chennubhotla, LP Clarke, A Fedorov… - Yearbook of medical …, 2017 - thieme-connect.com
Objectives: Precision medicine requires the measurement, quantification, and cataloging of
medical characteristics to identify the most effective medical intervention. However, the …