Applied Sciences Free Full Text Deep Learning Methods For Bug Bite A bite from a bug may expose the affected person to serious, life threatening conditions, which may require immediate medical attention. the identification of the bug bite may be challenging even for experienced medical personnel due to the different manifestations of the bites and similarity to other skin conditions. this motivated our work on a computer aided system that offers information. Ilijoski b, trojachanec dineva k, tojtovska ribarski b, petrov p, mladenovska t, trajanoska m, gjorshoska i, lameski p. deep learning methods for bug bite classification: an end to end system. applied sciences . 2023; 13(8):5187.
Applied Sciences Free Full Text Deep Learning Methods For Bug Bite Description of an end to end system for bug bite classification from images taken with mobile phones, which should be beneficial to the medical personnel in the diagnostic process. in this paper. Insect pests are a major element influencing agricultural production. according to the food and agriculture organization (fao), an estimated 20–40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop production. these insect pests cause sooty mold disease by sucking the sap from the crop’s organs, especially leaves, fruits, stems, and. Bug bite classification is addressed at the second level and is performed only on skin images. according to the obtained results regarding the bug bite classification task, this study showed that a cnn based approach with transfer learning is applicable to the bug bite classification problem. Applied sciences 13: abstract: a bite from a bug may expose the affected person to serious, life threatening conditions, which may require immediate medical attention. the identification of the bug bite may be challenging even for experienced medical personnel due to the different manifestations of the bites and similarity to other skin conditions.
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