Rankmix: Data augmentation for weakly supervised learning of classifying whole slide images with diverse sizes and imbalanced categories

YC Chen, CS Lu - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Abstract Whole Slide Images (WSIs) are usually gigapixel in size and lack pixel-level
annotations. The WSI datasets are also imbalanced in categories. These unique …

Refined mixup augmentation for diabetic foot ulcer segmentation

DJ Hresko, J Vereb, V Krigovsky, M Gayova… - Diabetic Foot Ulcers …, 2022 - Springer
Diabetic foot syndrome is one of the chronic diabetic complications that present itself as foot
ulceration, which in many cases leads to limb amputation. Moreover, it is linked to the high …

PreMix: Boosting Multiple Instance Learning in Digital Histopathology through Pre-training with Intra-Batch Slide Mixing

B Wong, MY Yi - arXiv preprint arXiv:2408.01162, 2024 - arxiv.org
The classification of gigapixel-sized whole slide images (WSIs), digital representations of
histological slides obtained via a high-resolution scanner, faces significant challenges …

Semantic segmentation with the mixup data augmentation method

SA Arpaci, S Varli - 2022 30th Signal Processing and …, 2022 - ieeexplore.ieee.org
The mixup data augmentation method is a method that creates new images via a linear
function from multiple images. In this paper, it is examined whether the mixup data …

A Post-Processing Based Bengali Document Layout Analysis with YOLOV8

NS Ahmed, SS Noor, AIS Sikder, A Paul - arXiv preprint arXiv:2309.00848, 2023 - arxiv.org
This paper focuses on enhancing Bengali Document Layout Analysis (DLA) using the
YOLOv8 model and innovative post-processing techniques. We tackle challenges unique to …

Brief Overview of Neural Networks for Medical Applications

M Hireš, P Bugata, M Gazda, DJ Hreško… - Acta Electrotechnica et …, 2022 - sciendo.com
Neural networks experienced great deal of success in many domains of machine
intelligence. In tasks such as object detection, speech recognition or natural language …

AI-Based Universal Lesion Segmentation Application for Thoracic-Abdominal in Computed Tomography Scans

M LADJAL - 2024 - dspace.univ-tebessa.dz
Medical imaging plays a crucial role in the diagnosis and treatment of various diseases,
particularly in identifying and evaluating lesions within the thoracic-abdominal region …

Mixup Veri Artırma Yöntemi ile Retina Damar Bölütlemesi

SA Arpacı, S Varlı - Türkiye Sağlık Enstitüleri Başkanlığı Dergisi, 2022 - dergipark.org.tr
Derin sinir ağı modellerinin aşırı uyum sorununun azaltılması için veri artırma yöntemlerine
başvurulmaktadır. 2018 yılında bir veri artırma yöntemi olan mixup tanıtılmıştır ve devam …

Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment

DJ Hresko, M Kurej, J Gazda, P Drotar - MICCAI Challenge on Correction …, 2022 - Springer
The kidney cancer is one of the most common cancer types, which treatment frequently
include surgical intervention. However, surgery is in this case particularly challenging due to …

Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation

M Gayova, P Drotar - … : Third Challenge, DFUC 2022, Held in …, 2023 - books.google.com
Diabetic foot syndrome is one of the chronic diabetic complications that present itself as foot
ulceration, which in many cases leads to limb amputation. Moreover, it is linked to the high …