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MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.

Multiphoton microscopy can effectively detect early endometrial cancer by analyzing collagen changes.

Multiphoton microscopy can effectively distinguish between scarring and non-scarring alopecia.

OCT can effectively screen and diagnose various medical conditions non-invasively.

Micro-Imager® helps see how drugs spread in human skin.

Skin ultrasonography and MRI have advanced, improving cancer treatment and cosmetic procedures.

Fluorescent proteins in mouse models effectively visualize tumor blood vessel growth.

Spinal fMRI can help understand brainstem and spinal cord function, especially in spinal cord injury patients.

Multiphoton microscopy effectively images rabbit skin structures in detail without staining and shows differences from human skin.

Two-photon microscopy improves skin imaging but faces safety and cost challenges for clinical use.

MicroRNAs could help assess and manage multiple chronic diseases.

The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.

A portable imaging system shows promise for diagnosing skin diseases and checking laser treatment effects.

The model can effectively help diagnose meibomian gland dysfunction automatically.

MultiKano accurately identifies cell types in complex data better than existing methods.

New imaging technologies help us see how stem cells work in living animals.

The technique accurately identifies and evaluates hair follicle structures in skin.

Confocal Laser Scanning Microscopy (CLSM) is a useful tool for studying how drugs interact with skin and diagnosing skin disorders, despite some limitations.

Self-supervised learning improves medical image classification accuracy.

Mast cell and nerve fiber interactions in mouse skin change with the hair cycle.

An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.

New hair and scalp disease diagnosis methods are important for correct treatment.

The improved algorithm enhances low-dose CT image quality significantly better than other methods.

Two-photon microscopy helps observe hair follicle stem cell behaviors in mice.

The method accurately detects and removes hair from skin images to improve melanoma diagnosis.

St. John's wort skin oil may increase skin damage risk during radiotherapy.

A 7-year-old dog with a rare autoimmune disease was euthanized due to severe anemia and poor prognosis.

3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.