Saved in:
| Main Authors: | Dasgupta, Subhasis, Sen, Jaydip, Halder, Tuhina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.02416 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models
by: Zadeh, Sara Shomal, et al.
Published: (2024)
by: Zadeh, Sara Shomal, et al.
Published: (2024)
Clutter Classification Using Deep Learning in Multiple Stages
by: Dempsey, Ryan, et al.
Published: (2024)
by: Dempsey, Ryan, et al.
Published: (2024)
Object Detection for Automated Coronary Artery Using Deep Learning
by: Keshavarz, Hadis, et al.
Published: (2023)
by: Keshavarz, Hadis, et al.
Published: (2023)
TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking
by: Tanvir, Abdullah All, et al.
Published: (2026)
by: Tanvir, Abdullah All, et al.
Published: (2026)
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning
by: Wang, Tianyuan, et al.
Published: (2023)
by: Wang, Tianyuan, et al.
Published: (2023)
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024)
by: Sui, Mingxiu, et al.
Published: (2024)
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
by: Forest, Florent, et al.
Published: (2023)
by: Forest, Florent, et al.
Published: (2023)
Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework
by: Khan, Saddam Hussain, et al.
Published: (2022)
by: Khan, Saddam Hussain, et al.
Published: (2022)
A Multi-Stage Deep Learning Framework with PKCP-MixUp Augmentation for Pediatric Liver Tumor Diagnosis Using Multi-Phase Contrast-Enhanced CT
by: Wang, Wanqi, et al.
Published: (2025)
by: Wang, Wanqi, et al.
Published: (2025)
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
by: Schlosser, Tobias, et al.
Published: (2019)
by: Schlosser, Tobias, et al.
Published: (2019)
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
by: Hazlett, Alanna, et al.
Published: (2025)
by: Hazlett, Alanna, et al.
Published: (2025)
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors
by: Sharma, Kiran, et al.
Published: (2025)
by: Sharma, Kiran, et al.
Published: (2025)
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
by: Golestani, Negar, et al.
Published: (2024)
by: Golestani, Negar, et al.
Published: (2024)
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)
by: Akter, Maksuda, et al.
Published: (2024)
Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
by: Burange, Rahul A., et al.
Published: (2025)
by: Burange, Rahul A., et al.
Published: (2025)
Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning
by: Akbar, Abdul Rehman, et al.
Published: (2026)
by: Akbar, Abdul Rehman, et al.
Published: (2026)
Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging
by: Zhang, Philippe, et al.
Published: (2024)
by: Zhang, Philippe, et al.
Published: (2024)
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation
by: Wang, Yu, et al.
Published: (2022)
by: Wang, Yu, et al.
Published: (2022)
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases
by: Saleem, Sajjad, et al.
Published: (2025)
by: Saleem, Sajjad, et al.
Published: (2025)
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
by: Shu, Ziyu, et al.
Published: (2024)
by: Shu, Ziyu, et al.
Published: (2024)
Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization
by: Rahman, MD Shaikh, et al.
Published: (2025)
by: Rahman, MD Shaikh, et al.
Published: (2025)
Quantifying Knowledge Distillation Using Partial Information Decomposition
by: Dissanayake, Pasan, et al.
Published: (2024)
by: Dissanayake, Pasan, et al.
Published: (2024)
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
by: Daniels, Mara, et al.
Published: (2020)
by: Daniels, Mara, et al.
Published: (2020)
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
by: Hekler, Achim, et al.
Published: (2023)
by: Hekler, Achim, et al.
Published: (2023)
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
by: Shukla, Megh, et al.
Published: (2023)
by: Shukla, Megh, et al.
Published: (2023)
Lung Cancer detection using Deep Learning
by: Chaudhari, Aryan, et al.
Published: (2025)
by: Chaudhari, Aryan, et al.
Published: (2025)
Deep Transfer Learning for Kidney Cancer Diagnosis
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
The Development and Performance of a Machine Learning Based Mobile Platform for Visually Determining the Etiology of Penile Pathology
by: Allan-Blitz, Lao-Tzu, et al.
Published: (2024)
by: Allan-Blitz, Lao-Tzu, et al.
Published: (2024)
Predicting Patient Recovery or Mortality Using Deep Neural Decision Tree and Forest
by: Dehghani, Mohammad, et al.
Published: (2023)
by: Dehghani, Mohammad, et al.
Published: (2023)
DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets
by: Tama, Bayu Adhi, et al.
Published: (2025)
by: Tama, Bayu Adhi, et al.
Published: (2025)
A Survey of Deep Learning Video Super-Resolution
by: Baniya, Arbind Agrahari, et al.
Published: (2025)
by: Baniya, Arbind Agrahari, et al.
Published: (2025)
Deep Learning for Pancreas Segmentation: a Systematic Review
by: Moglia, Andrea, et al.
Published: (2024)
by: Moglia, Andrea, et al.
Published: (2024)
Deep Internal Learning: Deep Learning from a Single Input
by: Tirer, Tom, et al.
Published: (2023)
by: Tirer, Tom, et al.
Published: (2023)
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
by: Xu, Xiaojian, et al.
Published: (2022)
by: Xu, Xiaojian, et al.
Published: (2022)
Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models
by: Chowdhury, Mohsena, et al.
Published: (2024)
by: Chowdhury, Mohsena, et al.
Published: (2024)
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024)
by: Liu, Houze, et al.
Published: (2024)
Stool Recognition for Colorectal Cancer Detection through Deep Learning
by: Tan, Glenda Hui En, et al.
Published: (2024)
by: Tan, Glenda Hui En, et al.
Published: (2024)
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost
by: Tur, Yalcin, et al.
Published: (2024)
by: Tur, Yalcin, et al.
Published: (2024)
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition
by: Fein-Ashley, Jacob, et al.
Published: (2023)
by: Fein-Ashley, Jacob, et al.
Published: (2023)
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)
by: Talukder, Md. Alamin, et al.
Published: (2023)
Similar Items
-
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models
by: Zadeh, Sara Shomal, et al.
Published: (2024) -
Clutter Classification Using Deep Learning in Multiple Stages
by: Dempsey, Ryan, et al.
Published: (2024) -
Object Detection for Automated Coronary Artery Using Deep Learning
by: Keshavarz, Hadis, et al.
Published: (2023) -
TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking
by: Tanvir, Abdullah All, et al.
Published: (2026) -
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning
by: Wang, Tianyuan, et al.
Published: (2023)