Surajit Bose

Automatic identification of clinically relevant regions from oral tissue histological images for oral squamous cell carcinoma diagnosis

Dev Kumar Das, Surajit Bose, Asok Kumar Maiti et al. · Tissue and Cell · 2018 · 101 citations

Relevant Regions, Engineering, Digital Pathology +16

Serum-based diagnostic prediction of oral submucous fibrosis using FTIR spectrometry

Vertika Rai, Rashmi Mukherjee, Aurobinda Routray et al. · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2017 · 50 citations

Fibrosis, Diagnosis, Pathology +3

Smokeless tobacco consumption impedes metabolic, cellular, apoptotic and systemic stress pattern: A study on Government employees in Kolkata, India

Sushobhan Biswas, Krishnendu Manna, Ujjal Das et al. · Scientific Reports · 2015 · 30 citations · Full text

Tobacco Cessation, Immunotoxicology, Lipid Peroxidation +24

Computer aided tool for automatic detection and delineation of nucleus from oral histopathology images for OSCC screening

Dev Kumar Das, Subhranil Koley, Surajit Bose et al. · Applied Soft Computing · 2019 · 23 citations

Engineering, Digital Pathology, Diagnosis +16

Computational approach for mitotic cell detection and its application in oral squamous cell carcinoma

Dev Kumar Das, Pabitra Mitra, Chandan Chakraborty et al. · Multidimensional Systems and Signal Processing · 2017 · 17 citations

Tumor Biology, Cancer Detection, Medicine +9