Study Findings from Rome Update Knowledge in Algorithms (Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images).
In: Cancer Weekly, 2023-10-17, S. 1154-1154
serialPeriodical
Zugriff:
Keywords: Algorithms; Convolutional Network; Emerging Technologies; Machine Learning; Networks; Neural Networks EN Algorithms Convolutional Network Emerging Technologies Machine Learning Networks Neural Networks 1154 1154 1 10/16/23 20231017 NES 231017 2023 OCT 17 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Research findings on algorithms are discussed in a new report. Algorithms, Convolutional Network, Emerging Technologies, Machine Learning, Networks, Neural Networks. [Extracted from the article]
Copyright of Cancer Weekly is the property of NewsRx and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
Study Findings from Rome Update Knowledge in Algorithms (Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images).
|
---|---|
Zeitschrift: | Cancer Weekly, 2023-10-17, S. 1154-1154 |
Veröffentlichung: | 2023 |
Medientyp: | serialPeriodical |
ISSN: | 1071-7218 (print) |
Schlagwort: |
|
Sonstiges: |
|