Results 121 to 130 of about 202,762 (305)

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information

, 2021
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical ...
X Xing (7750970), Y Zhao (5839079), Y Liu (4702669), M Han (660801), J Yao (7713866), F Yang (5161112), H Li (100694), J Huang (3663847), Jun Zhang (13077525), L Wang (5323634)   +9 more
core  

A Comprehensive Study on Classification of Breast Cancer Histopathological Images: Binary Versus Multi-Category and Magnification-Specific Versus Magnification-Independent

IEEE Access
There are millions of cancer cases worldwide every year, and breast cancer is one of the most prevalent diseases with the highest mortality rate. The manual effort of pathologists can be significantly reduced by computerized diagnostic systems, which ...
Shahram Taheri, Zahra Golrizkhatami, Ammar A. Basabrain, Mohannad S. Hazzazi   +3 more
doaj   +1 more source

Re-identification from histopathology images

Medical Image Analysis
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for training, which must be anonymized to prevent possible patient identity leaks.
Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville   +4 more
openaire   +3 more sources

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

AI-based carcinoma detection and classification using histopathological images: A systematic review

, 2022
AI-based carcinoma detection and classification using histopathological images: A systematic ...
Xuequan Lu (2318185), Antonio Robles-Kelly (13058748), Swathi Prabhu (13089705), Keerthana Prasad (569507)   +3 more
core  

LMHistNet: Levenberg–Marquardt Based Deep Neural Network for Classification of Breast Cancer Histopathological Images

IEEE Access
Breast cancer is a deadly disease commonly affecting women. One method to avoid death from breast cancer is to obtain a diagnosis early. Breast cancer detection is a significant area that benefits from the technological advancements in artificial ...
Soumya Sara Koshy, L. Jani Anbarasi
doaj   +1 more source

Flexible Implantable Silicon Carbide Multi‐Electrode Array (MEA) for Cell Multichannel Recording and Cell Ablation

Advanced Materials Technologies, EarlyView.
Flexible silicon carbide (SiC) microelectrode arrays enable high‐fidelity, multichannel cell extracellular recording and precise localized ablation. SiC has been extensively evaluated to persist long‐term in chronic physiological conditions while remaining robust, with excellent electrical and electrochemical stability.
Minh Anh Huynh, Matthew Barton, Sharda Yadav, Tuan‐Khoa Nguyen, Nam‐Trung Nguyen   +4 more
wiley   +1 more source

Fine-Tuning Models for Histopathological Classification of Colorectal Cancer

Diagnostics
Background/Objectives: This study aims to design and evaluate transfer learning strategies that fine-tune multiple pre-trained convolutional neural network architectures based on their characteristics to improve the accuracy and generalizability of ...
Houda Saif ALGhafri, Chia S. Lim
doaj   +1 more source

Spatiotemporal Sequential Delivery of Chidamide Regulates Macrophage Reprogramming in Lymphoma Microenvironment Through HDACs‐STAT3 Pathway

Advanced Science, EarlyView.
Our study identifies the HDACs‐STAT3 axis as key regulator for M2 macrophage accumulation in DLBCL. We developed Chid@M2pep‐EVs/TP, a pH‐responsive drug delivery system for M2 macrophage specific chidamide administration. By coupling M2‐targeted chidamide with EVs‐mediated delivery, this system reprograms M2 to M1 via HDAC inhibition and STAT3 ...
Bo Dai, Shuo Wang, Xiaotong Peng, Kunpeng Wu, Mengyao Wu, Zhaoning Lu, Haoshu Zhong, Xiaohan Qian, Shuiyi Tan, Hui Yang, Tanlezi Sun, Jing Wang, Jie Zhang, Hua Jiang, Yin Tong, Tong Chen   +15 more
wiley   +1 more source

The BHCNet-3 architecture for the benign and malignant classification of breast cancer histopathological images.

, 2019
The BHCNet-3 architecture for the benign and malignant classification of breast cancer histopathological images.
Yun Jiang (534502), Li Chen (5749), Hai Zhang (41608), Xiao Xiao (99147)   +3 more
core   +1 more source