Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Computational histopathology is focused on the automatic analysis of rich phenotypic
information contained in gigabyte whole slide images, aiming at providing cancer patients …

With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Hyperspectral imaging technology (HSI) can capture pathological tissue's spatial and
spectral information simultaneously, with wide coverage and high accuracy characteristics …

Skin cancer is one of the most common types of cancer in the world, accounting for at least
40% of all cancers. Melanoma is considered as the 19th most commonly occurring cancer …

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications
relied on high-precision pathology image segmentation, such as computational pathology …

One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Deep subspace clustering (DSC) has achieved remarkable performances in the
unsupervised classification of hyperspectral images. However, previous models based on …

Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node
metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical …