stefyste / RIAWELC
Radiographic image dataset for weld defects classification
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for RIAWELC
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆22Updated 3 years ago
- This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly inte…☆63Updated last year
- FixCaps: An Improved Capsules Network for Diagnosis of Skin Cancer,DOI: 10.1109/ACCESS.2022.3181225☆31Updated last year
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆44Updated 4 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆33Updated 2 years ago
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in COVID-19 Classification☆25Updated 4 years ago
- This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted su…☆46Updated 3 years ago
- ☆22Updated 4 years ago
- Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science☆28Updated 2 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆25Updated 4 years ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆92Updated 3 years ago
- Comparision of deep learning models such as ResNet50, FineTuned VGG16, CNN for Brain Tumor Detection☆14Updated 3 months ago
- This python program demonstrates image classification with stratified k-fold cross validation technique.☆35Updated last year
- As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and prom…☆13Updated 4 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆66Updated 4 years ago
- Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of…☆54Updated 3 years ago
- 1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.☆30Updated 5 months ago
- Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".☆45Updated 3 years ago
- 🧰 Grad-CAM implementation using TensorFlow 2.X code. Including guided Grad-CAM and counterfactuals.☆45Updated 3 years ago
- Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cance…☆51Updated 4 months ago
- ☆42Updated last year
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆54Updated 3 months ago
- Clustering and Image Processing using Fuzzy Logic☆22Updated last year
- An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks☆16Updated 2 years ago
- To load dataset using PIL, CV2, Keras andTensorflow☆13Updated 4 years ago
- Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selectio…☆11Updated 2 years ago
- This is an attempt to implement neuro-fuzzy system on keras☆28Updated last year
- Early detection of lung cancer☆17Updated 6 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆11Updated 5 years ago
- Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps☆40Updated 3 years ago