Buchumschlag

Detection of Malaria Vector Breeding Habitats using Topographic Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Jadhav, Aishwarya
Format:	Preprint
Veröffentlicht:	2020
Schlagworte:	Machine Learning Computer Vision and Pattern Recognition Image and Video Processing
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework
von: Khan, Saddam Hussain, et al.
Veröffentlicht: (2022)

One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric
von: Deo, Kunal, et al.
Veröffentlicht: (2024)

V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models
von: Neto, Guilherme Vieira, et al.
Veröffentlicht: (2025)

Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques
von: Taye, Abraham G, et al.
Veröffentlicht: (2024)

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
von: Seo, Jiwan, et al.
Veröffentlicht: (2024)

A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing
von: Ando, Yusaku, et al.
Veröffentlicht: (2024)

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

Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
von: Ishrak, Gazi Hasin, et al.
Veröffentlicht: (2024)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection
von: Bercea, Cosmin I., et al.
Veröffentlicht: (2024)

Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
von: Gautam, Vidit
Veröffentlicht: (2022)

MOZART: Ensembling Approach for COVID-19 Detection using Chest X-Ray Imagery
von: Shabo, Mohammed, et al.
Veröffentlicht: (2024)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
von: Liu, Jie, et al.
Veröffentlicht: (2023)

Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures
von: Prabhakaran, Anirudh, et al.
Veröffentlicht: (2024)

Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
von: V, Asha, et al.
Veröffentlicht: (2024)

A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia
von: GV, Hirthik Mathesh, et al.
Veröffentlicht: (2025)

SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
von: Adalioglu, Ilke, et al.
Veröffentlicht: (2023)

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
von: Degerli, Aysen, et al.
Veröffentlicht: (2022)

Concrete Surface Crack Detection with Convolutional-based Deep Learning Models
von: Zadeh, Sara Shomal, et al.
Veröffentlicht: (2024)

CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features
von: Bhattacharjee, Anindya, et al.
Veröffentlicht: (2025)

IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
von: Ahamed, Shadab, et al.
Veröffentlicht: (2024)

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
von: Behrendt, Finn, et al.
Veröffentlicht: (2023)

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

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
von: Behrendt, Finn, et al.
Veröffentlicht: (2024)

Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models
von: Alsadhan, Nasser A
Veröffentlicht: (2025)

Zero-Shot Distracted Driver Detection via Vision Language Models with Double Decoupling
von: Miyata, Takamichi, et al.
Veröffentlicht: (2026)

Enhancing Sample Generation of Diffusion Models using Noise Level Correction
von: Abuduweili, Abulikemu, et al.
Veröffentlicht: (2024)

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
von: Wu, Zihui, et al.
Veröffentlicht: (2024)

Classification of All Blood Cell Images using ML and DL Models
von: Asghar, Rabia, et al.
Veröffentlicht: (2023)

Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
von: He, Nathan, et al.
Veröffentlicht: (2025)

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
von: Akter, Maksuda, et al.
Veröffentlicht: (2024)

A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images
von: Huang, Baixiang, et al.
Veröffentlicht: (2024)

An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling
von: Inigo, Blanca, et al.
Veröffentlicht: (2024)

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
von: Chen, Zhuoxiao, et al.
Veröffentlicht: (2024)

Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images
von: Ahmadi, Mohsen, et al.
Veröffentlicht: (2023)

ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding
von: Singh, Ayushman, et al.
Veröffentlicht: (2024)

Enhancing Diabetic Retinopathy Detection with CNN-Based Models: A Comparative Study of UNET and Stacked UNET Architectures
von: Uppina, Ameya, et al.
Veröffentlicht: (2024)

Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
von: Mansoori, Mobina, et al.
Veröffentlicht: (2024)

Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
von: Yilmaz, Rüveyda, et al.
Veröffentlicht: (2024)

Fairness-Aware Data Augmentation for Cardiac MRI using Text-Conditioned Diffusion Models
von: Skorupko, Grzegorz, et al.
Veröffentlicht: (2024)

Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models
von: Taha, Ahmed M., et al.
Veröffentlicht: (2025)