Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
[PDF][PDF] Automatic identification of ivorian plants from herbarium specimens using deep learning
Plant identification is most often based on visual observations by botanists and systematists.
Deep learning has become a tool that provides an alternative to automatic plant …
Deep learning has become a tool that provides an alternative to automatic plant …
Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds
Y He, ZK Varley, LO Nouri, CJA Moody… - Nature …, 2022 - nature.com
Ultraviolet colouration is thought to be an important form of signalling in many bird species,
yet broad insights regarding the prevalence of ultraviolet plumage colouration and the …
yet broad insights regarding the prevalence of ultraviolet plumage colouration and the …
Semantic Segmentation of Agricultural Images Based on Style Transfer Using Conditional and Unconditional Generative Adversarial Networks
H Madokoro, K Takahashi, S Yamamoto, S Nix… - Applied Sciences, 2022 - mdpi.com
Classification, segmentation, and recognition techniques based on deep-learning
algorithms are used for smart farming. It is an important and challenging task to reduce the …
algorithms are used for smart farming. It is an important and challenging task to reduce the …
Deep learning for abdominal adipose tissue segmentation with few labelled samples
Z Wang, AH Hounye, J Zhang, M Hou, M Qi - International Journal of …, 2022 - Springer
Purpose Fully automated abdominal adipose tissue segmentation from computed
tomography (CT) scans plays an important role in biomedical diagnoses and prognoses …
tomography (CT) scans plays an important role in biomedical diagnoses and prognoses …
An effective automatic segmentation of abdominal adipose tissue using a convolution neural network
C Micomyiza, B Zou, Y Li - … & Metabolic Syndrome: Clinical Research & …, 2022 - Elsevier
Background and aims Computer-aided diagnosis and prognosis rely heavily on fully
automatic segmentation of abdominal fat tissue using Emission Tomography images. The …
automatic segmentation of abdominal fat tissue using Emission Tomography images. The …