Advancing paleontology: a survey on deep learning methodologies in fossil image analysis

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis

<p dir="ltr">Understanding ancient organisms and their interactions with paleoenvironments through the study of body fossils is a central tenet of paleontology. Advances in digital image capture now allow for efficient and accurate documentation, curation, and interrogation of fossil...

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Bibliographic Details
Main Author: Mohammed Yaqoob (344668) (author)
Other Authors: Mohammed Ishaq (22302736) (author), Mohammed Yusuf Ansari (16904523) (author), Yemna Qaiser (22302739) (author), Rehaan Hussain (22302742) (author), Harris Sajjad Rabbani (14489205) (author), Russell J. Garwood (8068184) (author), Thomas D. Seers (8759187) (author)
Published: 2025
Subjects:
History, heritage and archaeology
Archaeology
Information and computing sciences
Artificial intelligence
Machine learning
Fossil classification
Neural networks
Automated segmentation
Paleoimaging
Computational paleobiology
Virtual paleontology
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