Results 51 to 60 of about 678 (111)

Automated quantification of Ki-67 expression in breast cancer from H&E-stained slides using a transformer-based regression model. [PDF]

Breast Cancer Res
Chaurasia AK, Toohey PW, Bennett MT, Harris HC, Hewitt AW.   +4 more
europepmc   +1 more source

An artificial intelligence model of whole-slide pathology specimens differentiating cutaneous high-grade squamous proliferations. [PDF]

Virchows Arch
Petzold A, Wessely A, Erdmann M, Schliep S, Schreml S, Rivera Monroy LC, Vera J, Drexler K, Niebel D, Hayani KM, Kiesewetter F, Berking C, Koch EAT, Heppt MV.   +13 more
europepmc   +1 more source

Transfer learning drives automatic HER2 scoring on HE-stained WSIs for breast cancer: a multi-cohort study. [PDF]

Breast Cancer Res
Li X, Lin Z, Qiu C, Zhang Y, Lei C, Shen S, Zhang W, Lai C, Li W, Huang H, Qiu T.   +10 more
europepmc   +1 more source

Comparison of staining quality between rapid and routine hematoxylin and eosin staining of frozen breast tissue sections: an observational study. [PDF]

J Int Med Res
Ma ZY, Zhang XF, Hu YZ, Zhu MD, Jin J, Qian P.   +5 more
europepmc   +1 more source

Photodynamic antimicrobial therapy with Erythrosin B, Eosin Y, and Rose Bengal for the inhibition of fungal keratitis isolates: An in vitro study. [PDF]

J Photochem Photobiol B
Chou B, Krishna K, Durkee H, Echeverri Tribin F, Ahmed A, Lai J, Aguilar MC, Ferreira BCLB, Leblanc RM, Flynn HW, Amescua G, Parel JM, Miller D.   +12 more
europepmc   +1 more source

Pentachroma O-H: A Five-Color Histological Staining Method for Enhanced Intestinal Tissue Analysis. [PDF]

Int J Mol Sci
Onica EC, Dumitru CS, Zara F, Raica M, Suciu CS, Barb AC, Ene OA, Tarta C, Novacescu D.   +8 more
europepmc   +1 more source

Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin-eosin-stained slides. [PDF]

Breast Cancer Res
Du J, Shi J, Sun D, Wang Y, Liu G, Chen J, Wang W, Zhou W, Zheng Y, Wu H.   +9 more
europepmc   +1 more source

Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis. [PDF]

J Transl Med
Ng CW, Wong KK, Lawson BC, Ferri-Borgogno S, Mok SC.   +4 more
europepmc   +1 more source

Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response. [PDF]

J Pathol
Reitsam NG, Jiang X, Liang J, Grosser B, Grozdanov V, Loeffler CM, Gustav M, Lenz T, Muti HS, Carrero ZI, West NP, Quirke P, Foersch S, Jesinghaus M, Müller W, Yuan T, Hoffmeister M, Brenner H, Jonnagaddala J, Hawkins NJ, Ward RL, Grabsch HI, Märkl B, Kather JN.   +23 more
europepmc   +1 more source

A fluorescence-off based approach for sensitive determination of bepotastine in pharmaceutical and biological matrices considering human safety aspects: sustainability assessment. [PDF]

Sci Rep
Al-Farhan BS, Ali MAM, Chaudhary AA, Saleh SF, Ibrahim AMM, Obaydo RH, Hamad AA.   +6 more
europepmc   +1 more source