Results 121 to 130 of about 16,808 (228)

Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases

Communications Medicine
Background Chronic kidney disease (CKD) causes progressive and irreversible damage to the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD, while accurate quantification of tubulo-interstitial injuries from whole ...
Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, Hiroshi Sato, Mariko Miyazaki, Sadayoshi Ito, Mitsuhiro Sato, Tetsuhiro Tanaka, Kengo Kinoshita, Yoshihide Asano, Avi Z. Rosenberg, Koji Okamoto, Kosuke Shido   +19 more
doaj   +1 more source

Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation

Communications Medicine
Background Oral epithelial dysplasia (OED) is a potentially malignant histopathological diagnosis given to lesions of the oral cavity that are at risk of progression to malignancy.
Adam J. Shephard, Hanya Mahmood, Shan E. Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot   +14 more
doaj   +1 more source

The WSIS Index

Information Technologies and International Development, 2004
Colin M. Maclay, Mary Bridges
openaire   +1 more source

Deep Learning-Driven Pathological Prediction of Lymph Node Metastasis in Patients with Head and Neck Squamous Cell Carcinoma Using Primary Whole Slide Images. [PDF]

Cancers (Basel)
Cao Z, Chen Z, Zhong J, Chen H, Fu Z, Shi Z, Chen J, Yu Y, Zhou S.   +8 more
europepmc   +1 more source

Reliable classification of polyps based on artificial intelligence: a development and validation study. [PDF]

EClinicalMedicine
Julbø FMI, Henriksen AL, Pradhan M, Lindstrøm EK, Kostolomov I, Oukrif D, van der Schee L, Isaksen MX, Manet A, Skrede OJ, De Raedt S, Liestøl K, Askautrud HA, Eide TJ, Holme Ø, Kerr DJ, Shepherd NA, Lacle MM, Novelli M, Hveem TS, Kleppe A.   +20 more
europepmc   +1 more source

WSI-Mindestlohnbericht 2009 [PDF]

WSI-Mitteilungen, 2009
openaire   +1 more source

Digital Pathology-Based Comparison of PyRadiomics and HistomicsTK for Nuclei Classification in Melanoma Whole Slide Images. [PDF]

Int J Biomed Imaging
Finti A, Marinozzi F, Pasini G, Russo G, Stefano A, Bini F.   +5 more
europepmc   +1 more source

An integrated automated deep learning framework for annotating tumor-infiltrating lymphocytes in lung adenocarcinoma pathology. [PDF]

Front Bioinform
Li X, Wei KL, Huang ZQ, Huang ZY.
europepmc   +1 more source

Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes. [PDF]

Nat Commun
Klein L, Ziegler S, Gerst F, Morgenroth Y, Gotkowski K, Schöniger E, Heni M, Kipke N, Friedland D, Seiler A, Geibelt E, Yamazaki H, Häring HU, Wagner S, Nadalin S, Königsrainer A, Mihaljevic AL, Hartmann D, Fend F, Aust D, Weitz J, Jumpertz-von Schwartzenberg R, Distler M, Maier-Hein K, Birkenfeld AL, Ullrich S, Jäger PF, Isensee F, Solimena M, Wagner R.   +29 more
europepmc   +1 more source

Open courseware at WSIS

, 2005
OCW draws attention at world summit, a press release from MIT, November 21, 2005.
openaire   +1 more source