Výsledky vyhledávání - "Abu Bakr Azam"

Akademický článek

Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy

Autor: Abu Bakr Azam, Felicia Wee, Juha P. Väyrynen, Willa Wen-You Yim, Yue Zhen Xue, Bok Leong Chua, Jeffrey Chun Tatt Lim, Aditya Chidambaram Somasundaram, Daniel Shao Weng Tan, Angela Takano, Chun Yuen Chow, Li Yan Khor, Tony Kiat Hon Lim, Joe Yeong, Mai Chan Lau, Yiyu Cai

Publikováno v: Frontiers in Immunology, Vol 15 (2024)

IntroductionDeep learning (DL) models predicting biomarker expression in images of hematoxylin and eosin (H&E)-stained tissues can improve access to multi-marker immunophenotyping, crucial for therapeutic monitoring, biomarker discovery, and personal

Externí odkaz: https://doaj.org/article/101983bd690749259a72f6f849e2fb52

Zobrazit plný text záznamu

Akademický článek

A Convolutional Neural Network-Based Auto-Segmentation Pipeline for Breast Cancer Imaging

Autor: Lucas Jian Hoong Leow, Abu Bakr Azam, Hong Qi Tan, Wen Long Nei, Qi Cao, Lihui Huang, Yuan Xie, Yiyu Cai

Publikováno v: Mathematics, Vol 12, Iss 4, p 616 (2024)

Medical imaging is crucial for the detection and diagnosis of breast cancer. Artificial intelligence and computer vision have rapidly become popular in medical image analyses thanks to technological advancements. To improve the effectiveness and effi

Externí odkaz: https://doaj.org/article/845e7a439cc743d59f0d91a6f5d3c799

Zobrazit plný text záznamu

Plný text ve formátu HTML

Object perception in underwater environments: a survey on sensors and sensing methodologies

Autor: Dinh Quang Huy, Nicholas Sadjoli, Abu Bakr Azam, Basman Elhadidi, Yiyu Cai, Gerald Seet

Publikováno v: Ocean Engineering. 267:113202

Underwater robots play a critical role in the marine industry. Object perception is the foundation for the automatic operations of submerged vehicles in dynamic aquatic environments. However, underwater perception encounters multiple environmental ch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2745209575cb7df1d2e3bdd2f7a40c97
https://doi.org/10.1016/j.oceaneng.2022.113202

Zobrazit plný text záznamu

Effect of thermal annealing on the structural, optical and microstructural properties of a-SiC thin films

Autor: Abu Bakr Azam, Akshay S, Nikhil S. Thomas, R. Pratibha Nalini, B. Hariprasath, Sam Baskar, M Devesh

Publikováno v: Advances in Materials and Processing Technologies. 5:438-444

)Silicon nanocrystals in a host matrix of silicon carbide SiC are important to high band gap dielectrics for solar cells applications. Forming Si-NC is difficult considering that SiC nano-c...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96299f5a4e40dbd7fc9bbbe58b23e70b
https://doi.org/10.1080/2374068x.2019.1622298

Zobrazit plný text záznamu

818 Using deep learning approaches with mIF images to enhance T cell identification for tumor -automation of infiltrating lymphocytes (TILs) scoring on H&E images

Autor: Denise Goh, Mai Chan Lau, Yu Qing Chang, Matthew Leong Tze Ker, Yiyu Cai, Jeffrey Chun Tatt Lim, Abu Bakr Azam, Joe Yeong, Lihui Huang, Benedict Tan

Publikováno v: Journal for ImmunoTherapy of Cancer, Vol 9, Iss Suppl 2 (2021)

BackgroundExamining Hematoxylin & Eosin (H&E) images using brightfield microscopes is the gold standard of pathological diagnosis as it is an inexpensive method and provides basic information of tumors and other nuclei. Complementary to H&E-stained i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee787e118b9f3644b4a66bb5d536e97b
https://doi.org/10.1136/jitc-2021-sitc2021.818

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání