activity
20182023
most citedFully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms

6 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2023

Mueller matrix based characterization of Cervical tissue sections: A quantitative comparison of Polar and Differential decomposition methods

Nishkarsh Kumar, Jeeban Kumar Nayak, Asima Pradhan +1

Detection of cervical intraepithelial Neoplasia (CIN) at the early stage enables prevention of cervical cancer, which is one of the leading cause of cancer deaths among women. Rece…

cs.CV2020★ 2 cited

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms

Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh +3

Mammograms are commonly employed in the large scale screening of breast cancer which is primarily characterized by the presence of malignant masses. However, automated image-level…

cs.CV2020

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening

Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh +2

Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditions. Machine learning based automated solutions are being developed to reduce th…

cs.CV2020

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs

Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh +3

Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditions. Being undertaken at primary healthcare centers, they require the presence o…

eess.IV2019★ 1 cited

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

Rachana Sathish, Ronnie Rajan, Anusha Vupputuri +2

Ischaemic stroke is a medical condition caused by occlusion of blood supply to the brain tissue thus forming a lesion. A lesion is zoned into a core associated with irreversible ne…

cs.CV2018★ 6 cited

Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms

Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh +2

Early works on medical image compression date to the 1980's with the impetus on deployment of teleradiology systems for high-resolution digital X-ray detectors. Commercially deploy…