245 citations · 383 across the 21 of their papers we have counts for
5 papers · 1 filter
Recent advances in deep learning applied to skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals a…
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is one of the most common types of cancer around the world. For this reason, over the past years, different approaches have been proposed to assist detect it. Nonethele…
Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress
J. G. M. Esgario, R. A. Krohling, J. A. Ventura
Biotic stress consists of damage to plants through other living organisms. Efficient control of biotic agents such as pests and pathogens (viruses, fungi, bacteria, etc.) is closel…
A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust
Giuliano L. Manso, Helder Knidel, Renato A. Krohling +1
Generally, the identification and classification of plant diseases and/or pests are performed by an expert . One of the problems facing coffee farmers in Brazil is crop infestation…
Application of Genetic Algorithms to the Multiple Team Formation Problem
Jose G. M. Esgario, Iago E. da Silva, Renato A. Krohling
Allocating of people in multiple projects is an important issue considering the efficiency of groups from the point of view of social interaction. In this paper, based on previous…