Digital hair removal by deep learning for skin lesion segmentation

W Li, ANJ Raj, T Tjahjadi, Z Zhuang - Pattern Recognition, 2021 - Elsevier
Occlusion due to hair in dermoscopic images affects the diagnostic operation and the
accuracy of its analysis of a skin lesion. Also, dermis hair has the following different …

Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran

S Fathololoumi, AR Vaezi, SK Alavipanah… - Science of the Total …, 2020 - Elsevier
Modeling and mapping of soil properties are critical in many environmental, climatic,
ecological and hydrological applications. Digital soil mapping (DSM) techniques are now …

Fuzzy land element classification from DTMs based on geometry and terrain position

J Schmidt, A Hewitt - Geoderma, 2004 - Elsevier
Land elements have been used as basic landform descriptors in many science disciplines,
including soil mapping, vegetation mapping, and landscape ecology. We describe an …

Selection of terrain attributes and its scale dependency on soil organic carbon prediction

Z Guo, K Adhikari, M Chellasamy, MB Greve… - Geoderma, 2019 - Elsevier
Terrain attributes are commonly used as predictors of soil organic carbon (SOC) in digital
soil mapping. However, there are no fixed rules in the selection of suitable grid size and …

ChimeraNet: U-Net for hair detection in dermoscopic skin lesion images

N Lama, R Kasmi, JR Hagerty, RJ Stanley… - Journal of Digital …, 2023 - Springer
Hair and ruler mark structures in dermoscopic images are an obstacle preventing accurate
image segmentation and detection of critical network features. Recognition and removal of …

Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning …

M Ließ, J Schmidt, B Glaser - PLoS One, 2016 - journals.plos.org
Tropical forests are significant carbon sinks and their soils' carbon storage potential is
immense. However, little is known about the soil organic carbon (SOC) stocks of tropical …

Digital mapping of soil organic carbon using sentinel series data: A case study of the Ebinur Lake Watershed in Xinjiang

X Li, J Ding, J Liu, X Ge, J Zhang - Remote Sensing, 2021 - mdpi.com
As an important evaluation index of soil quality, soil organic carbon (SOC) plays an
important role in soil health, ecological security, soil material cycle and global climate cycle …

Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms

S Saha, R Sarkar, G Thapa, J Roy - Environmental Earth Sciences, 2021 - Springer
The present study attempts to demarcate the areas susceptible to gully erosion in
Phuentsholing, Bhutan, using Deep Learning CNN (convolution neural network) and …

New Martian valley network volume estimate consistent with ancient ocean and warm and wet climate

W Luo, X Cang, AD Howard - Nature Communications, 2017 - nature.com
The volume of Martian valley network (VN) cavity and the amount of water needed to create
the cavity by erosion are of significant importance for understanding the early Martian …

Global map of Martian fluvial systems: Age and total eroded volume estimations

G Alemanno, V Orofino… - Earth and Space …, 2018 - Wiley Online Library
The study of the fluvial systems present on the Martian surface is a key in the investigation of
the paleoclimate of the planet: Various indications suggest that these features could have …