−x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i u = ρ (cosα + isinα) ax + by + cz + d = 0 −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR}

Algorithms at the service of diagnostic imaging

This project’s protagonist is a multinational company that produces solutions and tools for diagnostic imaging. Our intervention led to the creation of an algorithm that automatically identifies the presence of possible anomalies in the diagnostic images that will then be submitted to the next and more accurate evaluation of the radiologist.

  • Description and benefits
Increased accuracy
Sharing of expertise
Continuous evolution

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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

Neural networks and deep learning for lesion detection