Vision Transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Unmet needs and perspectives in oral cancer prevention

J Bouaoud, P Bossi, M Elkabets, S Schmitz… - Cancers, 2022 - mdpi.com
Simple Summary Oral cavity is the most common site of head and neck cancer which is
ranked as the eighth most common cancer worldwide. Oral cancer treatment is often …

Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images

GM Dogar, M Shahzad, MM Fraz - Biomedical Signal Processing and …, 2023 - Elsevier
Nuclei instance segmentation and classification in histology plays a major role in routine
pathology image examination, which enable morphological features analysis that further …

Simultaneous nuclear instance and layer segmentation in oral epithelial dysplasia

AJ Shephard, S Graham, S Bashir… - Proceedings of the …, 2021 - openaccess.thecvf.com
Oral epithelial dysplasia (OED) is a pre-malignant histopathological diagnosis given to
lesions of the oral cavity. Predicting OED grade or whether a case will transition to …

Nuclei and glands instance segmentation in histology images: a narrative review

ES Nasir, A Parvaiz, MM Fraz - Artificial Intelligence Review, 2023 - Springer
Examination of tissue biopsy and quantification of the various characteristics of cellular
processes are clinical benchmarks in cancer diagnosis. Nuclei and glands instance …

A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia

RMS Bashir, AJ Shephard, H Mahmood… - The Journal of …, 2023 - Wiley Online Library
Oral squamous cell carcinoma (OSCC) is amongst the most common cancers, with more
than 377,000 new cases worldwide each year. OSCC prognosis remains poor, related to …

Nuclei probability and centroid map network for nuclei instance segmentation in histology images

SN Rashid, MM Fraz - Neural Computing and Applications, 2023 - Springer
Nuclei instance segmentation is an integral step in digital pathology workflow as it is a
prerequisite for most downstream tasks such as patient survival analysis, precision …

Targeting the genetic landscape of oral potentially malignant disorders has the potential as a preventative strategy in oral cancer

SS Prime, N Cirillo, SC Cheong, MS Prime… - Cancer letters, 2021 - Elsevier
This study reviews the molecular landscape of oral potentially malignant disorders (OPMD).
We examine the impact of tumour heterogeneity, the spectrum of driver mutations (TP53 …

A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia

AJ Shephard, RMS Bashir, H Mahmood… - npj Precision …, 2024 - nature.com
Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to
lesions of the oral cavity. Its grading suffers from significant inter-/intra-observer variability …

Multiscale dilated unet for segmentation of multi-organ nuclei in digital histology images

SN Rashid, MM Fraz, S Javed - … quality of life using ICT, IoT …, 2020 - ieeexplore.ieee.org
Millions of deaths occurs every year due to various kinds of cancer. Late diagnosis and no
proper treatment planning are the main contributing factors of these deaths. Tissue slides …