Articles with public access mandates - Dr. Shyam LalLearn more
Not available anywhere: 10
NucleiSegNet: Robust Deep Learning Architecture for the Nuclei Segmentation of Liver Cancer Histopathology Images
S Lal, D Das, K Alabhya, A Kanfade, A Kumar, J Kini
Computers in Biology and Medicine 128 (2021), 104075, 2021
Mandates: Department of Science & Technology, India
LiverNet: Efficient and Robust Deep Learning Model for Automatic Diagnosis of Sub-types of Liver Hepatocellular Carcinoma Cancer from H&E Stained Liver Histopathology Images
A Aatresh, K Alabhya, S Lal, J Kini, PUP Saxena
International Journal of Computer Assisted Radiology and Surgery 2021, 2021
Mandates: Department of Science & Technology, India
Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images
AK Chanchal, A Kumar, S Lal, J Kini
Computers & Electrical Engineering 92, 107177, 2021
Mandates: Department of Science & Technology, India
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images
AA Aatresh, RP Yatgiri, AK Chanchal, A Kumar, A Ravi, D Das, ...
Computerized Medical Imaging and Graphics 93, 101975, 2021
Mandates: Department of Science & Technology, India
High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images
AK Chanchal, S Lal, J Kini
International Journal of Computer Assisted Radiology and Surgery, 1-17, 2021
Mandates: Department of Science & Technology, India
A Novel Edge Detection Method for Nuclei Segmentation of Liver Cancer Histopathology Images
S Roy, D Das, S Lal, J Kini
Journal of Ambient Intelligence and Humanized Computing 2021 (https://doi …, 2021
Mandates: Department of Science & Technology, India
A Robust Method for Nuclei Segmentation of H&E Stained Histopathology Images
S Lal, A Kanfade, K Alabhya, R Dsouza, A Kumar, A Chanchal, ...
IEEE 7th International Conference on Signal Processing and Integrated …, 2020
Mandates: Department of Science & Technology, India
Automatic Deep Learning Framework for Breast Cancer Detection and Classification from H&E Stained Breast Histopathology Images
A Verma, A Panda, A Kumar Chanchal, S Lal, BS Raghavendra
In: Verma G.K., Soni B., Bourennane S., Ramos A.C.B. (eds) Data Science …, 2021
Mandates: Department of Science & Technology, India
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images
S Lal, AK Chanchal, J Kini, GK Upadhyay
Multimedia Tools and Applications, 1-19, 2024
Mandates: Department of Science & Technology, India
Efficient Deep Learning Framework with Group Convolution for Segmentation of Histopathology Image
AK Chanchal, A Kumar, K Alabhya, S Lal, J Kini
1st International Conference on Cutting-Edge Technologies In Computing And …, 2020
Mandates: Department of Science & Technology, India
Available somewhere: 3
Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images
S Roy, S Lal, J Kini
IEEE Access 7, 28982-28998, 2019
Mandates: Department of Science & Technology, India
A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images
AK Chanchal, SL Lal, R Kumar, JT Kwak, J Kini
Scientific Reports 13 (5728), 1-16, 2023
Mandates: Department of Science & Technology, India
Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images
AK Chanchal, S Lal, J Kini
Multimedia Tools and Applications 81 (7), 9201-9224, 2022
Mandates: Department of Science & Technology, India
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