Copertina

LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pant, Lalit, Arora, Shubham
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
di: Xiang, Tiange, et al.
Pubblicazione: (2024)

Signal2Image Modules in Deep Neural Networks for EEG Classification
di: Bizopoulos, Paschalis, et al.
Pubblicazione: (2019)

Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
di: Liu, Yang, et al.
Pubblicazione: (2024)

A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography
di: Evans, Nicholas, et al.
Pubblicazione: (2025)

FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
di: Li, Zhengdong, et al.
Pubblicazione: (2024)

Label-efficient Single Photon Images Classification via Active Learning
di: Zhang, Zili, et al.
Pubblicazione: (2025)

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
di: Cui, Wenxue, et al.
Pubblicazione: (2024)

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
di: Ignatov, Andrey, et al.
Pubblicazione: (2024)

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
di: Madan, Chetan, et al.
Pubblicazione: (2025)

A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
di: Lin, Junji, et al.
Pubblicazione: (2025)

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
di: Gong, Chuanzheng, et al.
Pubblicazione: (2026)

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
di: Dam, Tanmoy, et al.
Pubblicazione: (2021)

SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
di: Alkhatib, Mohammed Q., et al.
Pubblicazione: (2024)

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
di: Agarwal, Saurabh, et al.
Pubblicazione: (2024)

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
di: Sharma, Vanshali, et al.
Pubblicazione: (2025)

Multi-level Attention-guided Graph Neural Network for Image Restoration
di: Jiang, Jiatao, et al.
Pubblicazione: (2025)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
di: Sarkar, Ovi, et al.
Pubblicazione: (2025)

Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
di: He, Zhijin, et al.
Pubblicazione: (2025)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
di: Yu, Yeonguk, et al.
Pubblicazione: (2024)

Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
di: Mazumder, Badhan, et al.
Pubblicazione: (2025)

Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
di: Bakas, Jamimamul, et al.
Pubblicazione: (2024)

Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
di: Sulake, Nikhileswara Rao
Pubblicazione: (2026)

Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
di: Jain, Rohit Kumar, et al.
Pubblicazione: (2021)

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
di: Xu, Jing
Pubblicazione: (2023)

Deep Learning Based Multi-Level Classification for Aviation Safety
di: Varnousfaderani, Elaheh Sabziyan, et al.
Pubblicazione: (2026)

Effects of Degradations on Deep Neural Network Architectures
di: Roy, Prasun, et al.
Pubblicazione: (2018)

Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
di: Pal, Surochita, et al.
Pubblicazione: (2025)

Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
di: Xu, Yesheng, et al.
Pubblicazione: (2020)

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
di: Prochii, Rinat, et al.
Pubblicazione: (2025)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
di: Khan, Muazzem Hussain, et al.
Pubblicazione: (2026)

Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification
di: Tang, Peng, et al.
Pubblicazione: (2024)

Malaria Cell Detection Using Deep Neural Networks
di: Sawant, Saurabh, et al.
Pubblicazione: (2024)

Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
di: Ishaq, Kashif, et al.
Pubblicazione: (2024)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
di: Faria, Fatema Tuj Johora, et al.
Pubblicazione: (2024)

Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
di: Ibrahim, Mihaela Croitor, et al.
Pubblicazione: (2024)

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
di: Piccinini, Davide, et al.
Pubblicazione: (2025)

Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification
di: Qiu, Chunping, et al.
Pubblicazione: (2020)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
di: Helm, Kimberly, et al.
Pubblicazione: (2024)

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
di: Deutges, Michael, et al.
Pubblicazione: (2024)

Adaptive Convolutional Neural Network for Image Super-resolution
di: Wu, Ziang, et al.
Pubblicazione: (2024)