Akella S. Narasimha Raju

According to our database, Akella S. Narasimha Raju authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis.

Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

BMC Medical Imaging, December, 2025

Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images.

Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Shaik Jakeer Hussain, Subba Rao Polamuri

Cogn. Comput., April, 2025

CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images.

Akella S. Narasimha Raju, Kayalvizhi Jayavel, Rajalakshmi Thulasi, M. Rajababu

Cogn. Comput., February, 2025

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization.

Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa Metwally Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

IEEE Access, 2025

GeoDisasterAINet: An Explainable Deep Ensemble Framework for Real-Time Urban and Rural Disaster Classification and Resilience.

Akella S. Narasimha Raju, Seelam Sreekanth, Ranjith Kumar Gatla, M. Rajababu, Devineni Gireesh Kumar, Aymen Flah, Claude Ziad El-Bayeh, Khaled A. El-Nagdy, Ali Alzaed

IEEE Access, 2025

2024

GIEnsemformerCADx: A hybrid ensemble learning approach for enhanced gastrointestinal cancer recognition.

Akella S. Narasimha Raju, K. Venkatesh, Budi Padmaja, G. Sucharitha Reddy

Multim. Tools Appl., May, 2024

2023

An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies.

Akella S. Narasimha Raju, Kayalvizhi Jayavel, T. Rajalakshmi

Neural Comput. Appl., October, 2023