Cover Image

Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chatterjee, Soumick, Yassin, Hadya, Dubost, Florian, Nürnberger, Andreas, Speck, Oliver
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology and Medicine
by: Chatterjee, Soumick
Published: (2026)

Towards Segmenting the Invisible: An End-to-End Registration and Segmentation Framework for Weakly Supervised Tumour Analysis
by: Mukhopadhyay, Budhaditya, et al.
Published: (2026)

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
by: Chatterjee, Soumick, et al.
Published: (2020)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
by: Gan, Haitao, et al.
Published: (2024)

SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
by: Radhakrishna, Chethan, et al.
Published: (2024)

Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
by: Khatun, Rupali, et al.
Published: (2023)

Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands
by: Meijling, Eva Gmelich, et al.
Published: (2025)

Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
by: Rasoulian, Amirhossein, et al.
Published: (2023)

Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset
by: Sun, Sheng, et al.
Published: (2020)

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
by: Morano, José, et al.
Published: (2024)

Unmasking unlearnable models: a classification challenge for biomedical images without visible cues
by: Kumar, Shivam, et al.
Published: (2024)

A multi-stage semi-supervised learning for ankle fracture classification on CT images
by: Liu, Hongzhi, et al.
Published: (2024)

Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
by: Torda, Tommaso, et al.
Published: (2024)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
by: Fabelo, H., et al.
Published: (2024)

Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
by: Tweneboah, Anyimadu Daniel, et al.
Published: (2025)

Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans
by: Hryniewska-Guzik, Weronika, et al.
Published: (2023)

Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT
by: Huisman, Selena, et al.
Published: (2024)

OXSeg: Multidimensional attention UNet-based lip segmentation using semi-supervised lip contours
by: Moghaddasi, Hanie, et al.
Published: (2025)

Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification
by: Kao, Jyun-Ping, et al.
Published: (2026)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT
by: Mittal, Ajay, et al.
Published: (2025)

Automatic classification of prostate MR series type using image content and metadata
by: Krishnaswamy, Deepa, et al.
Published: (2024)

3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
by: Letard, Mathilde, et al.
Published: (2024)

Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism
by: Wang, Zixuan, et al.
Published: (2024)

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg
by: Shang, Ziyao, et al.
Published: (2025)

Recursive classification of satellite imaging time-series: An application to land cover mapping
by: Calatrava, Helena, et al.
Published: (2023)

Exogeneous PpIX model for brain tumour assessment
by: Raschke, John, et al.
Published: (2025)

A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
by: Ahad, Md Taimur, et al.
Published: (2024)

Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context
by: Mouret, Florian, et al.
Published: (2024)

Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression
by: Shehata, Nairouz, et al.
Published: (2025)

Domain generalization in fetal brain MRI segmentation \\with multi-reconstruction augmentation
by: de Dumast, Priscille, et al.
Published: (2022)

Diffusion models applied to skin and oral cancer classification
by: Uliana, José J. M., et al.
Published: (2025)

What limits performance of weakly supervised deep learning for chest CT classification?
by: Tushar, Fakrul Islam, et al.
Published: (2024)

MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention
by: Arora, Aadya, et al.
Published: (2025)

A comprehensive review of remote sensing in wetland classification and mapping
by: Yuan, Shuai, et al.
Published: (2025)

Evaluating unsupervised contrastive learning framework for MRI sequences classification
by: Wang, Yuli, et al.
Published: (2025)

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
by: Sundaresan, Vaanathi, et al.
Published: (2024)

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI
by: Himmetoglu, Meva, et al.
Published: (2025)

Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
by: Moradinasab, Nazanin, et al.
Published: (2023)

An Improved CovidConvLSTM model for pneumonia-COVID-19 detection and classification
by: Beghoura, Imane, et al.
Published: (2024)

Label-free segmentation from cardiac ultrasound using self-supervised learning
by: Ferreira, Danielle L., et al.
Published: (2022)