Blar i UiS Brage på forfatter "Kanwal, Neel"
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Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
Kanwal, Neel; Lopez-Perez, Miguel; Kiraz, Umay; Zuiverloon, Tahlita C M; Molina, Rafael (Peer reviewed; Journal article, 2023)Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called whole slide image (WSI), for further examination. ... -
Artifact Detection for Reliable Computational Pathology Systems using Artificial Intelligence
Kanwal, Neel (PhD thesis UiS;, Doctoral thesis, 2024)Cancer is a significant global health concern, resulting in millions of deaths worldwide each year. Cancer diagnosis is performed using histological examination of glass slides under a microscope. Thanks to digitization ... -
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review
Khoraminia, Farbod; Fuster Navarro, Saul; Kanwal, Neel; Olislagers, Mitchell; Engan, Kjersti; Leenders, Geet J.L.H. Van; Stubbs, Andrew P; Akram, Farhan; Zuiverloon, Tahlita C.M. (Peer reviewed; Journal article, 2023)Bladder cancer (BC) diagnosis and prediction of prognosis are hindered by subjective pathological evaluation, which may cause misdiagnosis and under-/over-treatment. Computational pathology (CPATH) can identify clinical ... -
Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support
Gavade, Anil B.; Nerli, Rajendra; Kanwal, Neel; Gavade, Priyanka A.; Pol, Shridhar Sunilkumar; Rizvi, Syed Tahir Hussain (Peer reviewed; Journal article, 2023)Prostate cancer (PCa) is a significant health concern for men worldwide, where early detection and effective diagnosis can be crucial for successful treatment. Multiparametric magnetic resonance imaging (mpMRI) has evolved ... -
Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education
Kanwal, Neel; Janssen, Emiel; Engan, Kjersti (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications;, Chapter, 2024)The advancement of biomedical research heavily relies on access to large amounts of medical data. In the case of histopathology, Whole Slide Images (WSI) and clinicopathological information are valuable for developing ... -
Detection and localization of melanoma skin cancer in histopathological whole slide images
Kanwal, Neel; Amundsen, Roger; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandøy; Janssen, Emiel; Engan, Kjersti (European Signal Processing Conference;, Chapter; Conference object, 2023)If melanoma is diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a shortage of dermatopathologists have emphasized the need for computational pathology ... -
The devil is in the details: Whole Slide Image acquisition and processing for artifacts detection, color variation, and data augmentation: A review.
Kanwal, Neel; Pérez-Bueno, Fernando; Schmidt, Arne; Engan, Kjersti; Molina, Rafael (Peer reviewed; Journal article, 2022)Whole Slide Images (WSI) are widely used in histopathology for research and the diagnosis of different types of cancer. The preparation and digitization of histological tissues leads to the introduction of artifacts and ... -
Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images
Fuster Navarro, Saul; Khoraminia, Farbod; Kiraz, Umay; Kanwal, Neel; Kvikstad, Vebjørn; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Janssen, Emiel; Engan, Kjersti (Chapter, 2022)Bladder cancer patients’ stratification into risk groups relies on grade, stage and clinical factors. For non-muscle invasive bladder cancer, T1 tumours that invade the subepithelial tissue are high-risk lesions with a ... -
Melanoma Diagnosis and Localization from Whole Slide Images using Convolutional Neural Networks
Amundsen, Roger (Master thesis, 2022)During the last decade, no other cancer type in Norway have had higher increase in incidents than skin cancer. Melanoma is the most aggressive type of skin cancer because it has the ability to rapidly spread, which makes ... -
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
Kanwal, Neel; Fuster Navarro, Saul; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Chunming, Rong; Engan, Kjersti (Chapter, 2022)Histological tissue examination has been a longstanding practice for cancer diagnosis where pathologists identify the presence of tumors on glass slides. Slides acquired from laboratory routine may contain unintentional ... -
Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition
Ahmad, Tasweer; Rizvi, Syed Tahir Hussain; Kanwal, Neel (Peer reviewed; Journal article, 2023-09)Over the past few years, skeleton-based action recognition has attracted great success because the skeleton data is immune to illumination variation, view-point variation, background clutter, scaling, and camera motion. ... -
Vision transformers for small histological datasets learned through knowledge distillation
Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...