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Dr Abid Sarwar

vidwan id: 439841
Male

Assistant Professor, Bhaderwah Campus, University of Jammu
Jammu University

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 297
h-index 9

CrossRef

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Citations 140
h-index 6
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Professional Recognition

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Bio

Areas of Teaching: Artificial Intellegence, Machine Learning, Data Mining, Algorithim Design & Analysis

Personal Details

  • Male
  • Assistant Professor , Jammu University
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Assistant Professor Feb 2017 – Present
Jammu University | Bhaderwah Campus, University of Jammu

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Organisations (312+)

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Co-Authors (6)

Majid Bashir

Dr Majid Bashir Malik

Baba Ghulam Shah Badshah University

Jatinder

Dr Jatinder Manhas

Jammu University

Mohammed

Dr Mohammed Asger

Baba Ghulam Shah Badshah University

Rashid

Prof Rashid Ali

Aligarh Muslim University

Sandeep

Dr Sandeep Raj

Indian Institute of Information Technology, Bhagalpur

Zahoor Ahmad

Dr Zahoor Ahmad Najar

Central University of Kashmir

Scholarly Work

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Scholarly Publications

PAP-Net: A Systematic Framework for Denoising Pap Smear Images

Open Access
Article

Multi-class instance segmentation for the detection of cervical cancer cells using modified mask RCNN

Open Access
Conference Paper

Active reinforcement learning based approach for localization of target ROI (region of interest) in cervical cell images

Open Access
Article

Review of reinforcement learning applications in segmentation, chemotherapy, and radiotherapy of cancer

Open Access
Review

Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges

Open Access
Review

Early Diagnosis of Cervical Cancer Using AI: A Review

Open Access
Conference Paper

A Robust Deep Learning Approach for Accurate Segmentation of Cytoplasm and Nucleus in Noisy Pap Smear Images

Open Access
Article
Authors: Nazir N.;Sarwar A.;Saini B.S.;Shams R.

Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions

Open Access
Review