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A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning

Helano M. B. F. Portela; Rodrigo de M. S. Veras; Luis H. S. Vogado; Daniel Leite; Paulo E. Ambrósio; Anselmo Cardoso de Paiva; João Manuel R. S. Tavares

Corneal Ulcers are defined as inflammation or even infection. They are one of the most frequent diseases that affect eye health. The proper measurement of corneal ulcer lesions enables the physician to evaluate the treatment effectiveness and decision making. This paper presents a segmentation method that aims to assist doctors in monitoring the treatment of corneal ulcer lesions. We applied a stepwise fine-tun...


Semi-automatic segmentation of skin lesions based on superpixels and hybrid tex...

Elineide S. dos Santos; Rodrigo de M. S. Veras; Kelson R. T. Aires; Helano M. B. F. Portela; Geraldo Braz Junior; Justino D. Santos

Dermoscopic images are commonly used in the early diagnosis of skin lesions, and several computational systems have been proposed to analyze them. The segmentation of the lesions is a fundamental step in many of these systems. Therefore, a semi-automatic segmentation method is proposed here, which begins by building the superpixels of the image under analysis based on the zero parameter version of the simple li...


Assessing the impact of data augmentation and a combination of CNNs on leukemia...

Maíla L. Claro; Rodrigo de M. S. Veras; André M. Santana; Luis Henrique S. Vogado; Geraldo Braz Junior; Fátima N. S. de Medeiros

An accurate early-stage leukemia diagnosis plays a critical role in treating and saving patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is subdivided into myeloid and lymphoid leukemia. Deep learning models have been increasingly used in computer-aided medical diagnosis (CAD) systems developed to detect leukemia. This article assesses the impact of widely applied techniq...


A hybrid of deep and textural features to differentiate glomerulosclerosis and ...

Justino Duarte Santos; Rodrigo de M. S. Veras; Romuere R. V. Silva; Nayze L. S. Aldeman; Flávio H. D. Araújo; Angelo A. Duarte

The minimal change disease (MCD) and glomerulosclerosis (GS) are two common kidney diseases. Unless adequately treated, these diseases leads to chronic kidney diseases. Accurate differentiation of these two diseases is of paramount importance as their methods of treatment and prognoses are different. Thus, this article propose a method capable of differentiating MCD from GS in glomerulus biopsies images based o...


A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in...

Helano M.B.F. Portela; Rodrigo de M. S. Veras; Luis H.S. Vogado; Daniel Leite; Jefferson A. de Sousa; Anselmo C. de Paiva; João Manuel R. S. Tavares

A corneal ulcer is one of the most frequently appearing diseases that may affect eye health. The proper measurement of corneal ulcer lesions enables the physician to evaluate the treatment effectiveness and assist in decision-making. This article presents the solution for ulcer segmentation as a pixel-wise classification task, and proposes a novel coarse-to-fine method to extract corneal ulcers from ocular stai...


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