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Label-free characterization of biological specimens seeks to supplement existing imaging techniques and avoid the need for contrast agents that can disturb the native state of living samples. Conventional label-free optical imaging…

We present WeakSTIL, an interpretable two-stage weak label deep learning pipeline for scoring the percentage of stromal tumor infiltrating lymphocytes (sTIL%) in H&E-stained whole-slide images (WSIs) of breast cancer tissue. The sTIL% score…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Yoni Schirris , Mendel Engelaer , Andreas Panteli , Hugo Mark Horlings , Efstratios Gavves , Jonas Teuwen

Mammographic breast density, a parameter used to describe the proportion of breast tissue fibrosis, is widely adopted as an evaluation characteristic of the likelihood of breast cancer incidence. In this study, we present a radiomics…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Jingxu Xu , Cheng Li , Yongjin Zhou , Lisha Mou , Hairong Zheng , Shanshan Wang

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual…

Human-Computer Interaction · Computer Science 2020-06-02 Francisco Maria Calisto , Nuno Jardim Nunes , Jacinto Carlos Nascimento

According to the World Health Organization, breast cancer is the main cause of cancer death among adult women in the world. Although breast cancer occurs indiscriminately in countries with several degrees of social and economic development,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Sidney Marlon Lopes de Lima , Abel Guilhermino da Silva Filho , Wellington Pinheiro dos Santos

Label-free imaging of rapidly moving, sub-diffraction sized structures has important applications in both biology and material science, as it removes the limitations associated with fluorescence tagging. However, unlabeled nanoscale…

Three-dimensional (3D) imaging of the subcellular organisation and morphology of cells and tissues is essential for understanding biological function. Although staining is the most widely used approach for visualising biological samples…

Ultrasound imaging plays a critical role in the early detection of breast cancer. Accurate identification and segmentation of lesions are essential steps in clinical practice, requiring methods to assist physicians in lesion segmentation.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Xin Yue , Xiaoling Liu , Qing Zhao , Jianqiang Li , Changwei Song , Suqin Liu , Zhikai Yang , Guanghui Fu

We present a novel method for characterizing mammographic findings using spectral imaging without the use of contrast agent. Within a statistical framework, suspicious findings are analyzed to determine if they are likely to be benign…

Medical Physics · Physics 2021-01-26 Bjorn Norell , Erik Fredenberg , Karin Leifland , Mats Lundqvist , Bjorn Cederstrom

Breast cancer has become a symbol of tremendous concern in the modern world, as it is one of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography images are frequently utilized by doctors to diagnose breast…

Image and Video Processing · Electrical Eng. & Systems 2022-02-15 Muhammad Sakib Khan Inan , Fahim Irfan Alam , Rizwan Hasan

A method has been developed for the analysis of images of sentinel lymph nodes generated by a spectral scanning device. The aim is to classify the nodes, excised during surgery for breast cancer, as normal or metastatic. The data from one…

Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment. Although manual tracing is the current standard in clinics, automated tools are desired to reduce human labor and improve…

Computer Vision and Pattern Recognition · Computer Science 2023-04-28 Mingzhe Hu , Yuheng Li , Xiaofeng Yang

Accurate detection of mitosis plays a critical role in breast cancer histopathology. Manual detection and counting of mitosis is tedious and subject to considerable inter- and intra-reader variations. Multispectral imaging is a recent…

Computer Vision and Pattern Recognition · Computer Science 2013-04-16 H. Irshad , A. Gouaillard , L. Roux , D. Racoceanu

Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diagnosis and treatment planning. Multiple Instance Learning (MIL) has emerged as a widely used approach for weakly-supervised tumor detection…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Marina D'Amato , Jeroen van der Laak , Francesco Ciompi

Quantitative ultrasound (QUS) based parameters like the effective scatterer diameter (ESD) and mean scatterer spacing (MSS) are gaining attention recently as non-invasive biomarkers for soft tissue characterization. In this work, we propose…

Signal Processing · Electrical Eng. & Systems 2019-07-10 Navid Ibtehaj Nizam , Sharmin R. Ara , Md. Kamrul Hasan

Advances in optical microscopy scanning have significantly contributed to computational pathology (CPath) by converting traditional histopathological slides into whole slide images (WSIs). This development enables comprehensive digital…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Xitong Ling , Yuanyuan Lei , Jiawen Li , Junru Cheng , Wenting Huang , Tian Guan , Jian Guan , Yonghong He

Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally, histopathology images have been used primarily for…

Quantitative Methods · Quantitative Biology 2024-12-17 Suchithra Kunhoth , Somaya Al- Maadeed , Younes Akbari , Rafif Al Saady

Early detection of breast cancer through screening mammography yields a 20-35% increase in survival rate; however, there are not enough radiologists to serve the growing population of women seeking screening mammography. Although commercial…

Computer Vision and Pattern Recognition · Computer Science 2020-01-24 Stefano Pedemonte , Brent Mombourquette , Alexis Goh , Trevor Tsue , Aaron Long , Sadanand Singh , Thomas Paul Matthews , Meet Shah , Jason Su

This work demonstrates an application of near field indirect microwave holography for the detection of malignant tissues in the human breast in an effective way. The holograms are recorded by two directive antennas aligned along each…

Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than…

Image and Video Processing · Electrical Eng. & Systems 2022-03-10 Ali Bou Nassif , Manar Abu Talib , Qassim Nasir , Yaman Afadar , Omar Elgendy